{"id":224,"date":"2021-07-20T16:07:14","date_gmt":"2021-07-20T16:07:14","guid":{"rendered":"https:\/\/franckplouraboue.net\/?page_id=224"},"modified":"2025-02-17T14:22:45","modified_gmt":"2025-02-17T14:22:45","slug":"networks-analysis-and-bio-imaging","status":"publish","type":"page","link":"https:\/\/franckplouraboue.net\/?page_id=224","title":{"rendered":"Network analysis &#038; bio-imaging"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"224\" class=\"elementor elementor-224\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-84bbfc1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"84bbfc1\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-14ae37c\" data-id=\"14ae37c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-93eec9f elementor-widget elementor-widget-image\" data-id=\"93eec9f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"450\" height=\"450\" src=\"https:\/\/franckplouraboue.net\/wp-content\/uploads\/2021\/07\/movd_half2.gif\" class=\"attachment-full size-full wp-image-223\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-7f3ce9d\" data-id=\"7f3ce9d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ac56f08 elementor-widget elementor-widget-text-editor\" data-id=\"ac56f08\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/franckplouraboue.net\/wp-content\/uploads\/overview-h100.jpg\"><img decoding=\"async\" class=\"fp_icons alignnone size-full wp-image-1004\" src=\"https:\/\/franckplouraboue.net\/wp-content\/uploads\/overview-h100.jpg\" alt=\"\" width=\"80\" height=\"100\" \/><\/a>Networks play an important role in many engineering and applied problems such as water or gas transport in pipe networks, electric distributions, river basins, etc. They also represent a key concept in several biological contexts such as <strong>vascular networks<\/strong>, <strong>metabolic reaction networks<\/strong>, epidemiology, etc. In our group, we are mainly interested in <strong>networks for pipe flow distribution systems<\/strong>, <strong>micro-vascular networks perfusion distribution<\/strong>, and metabolic reaction modeling.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-207978d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"207978d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a68ea02\" data-id=\"a68ea02\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3c2c374 elementor-widget elementor-widget-text-editor\" data-id=\"3c2c374\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><img decoding=\"async\" class=\"fp_icons alignnone size-full\" src=\"https:\/\/franckplouraboue.net\/wp-content\/uploads\/question-h80.jpg\" alt=\"\" width=\"62\" height=\"80\">Regarding <strong>pipe flow distribution<\/strong> and <strong>blood flow modeling<\/strong>, many issues are of interest, including pressure and flow distribution modeling, <strong>pressure pulsed wave propagation<\/strong> and <strong>heat or mass transport<\/strong> inside these networks, relationships between applied conditions and flow distributions, etc.<\/p>\n<p>The first step consists in <strong>characterizing the structural properties of these graphs<\/strong>. For vascular networks, it necessitates performing 3D image distributions as well as image post-processing and <strong>3D reconstruction of skeletonized vessels<\/strong>.<br>\nThese very complex structural networks being known, their simplification or the resulting <strong>identification of structural and functional units<\/strong> are of great interest in many contexts.<br>\nModeling of flow and transport in these networks have many application domains.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4778cc5 elementor-widget elementor-widget-text-editor\" data-id=\"4778cc5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" class=\"fp_icons alignnone size-full wp-image-984\" src=\"https:\/\/franckplouraboue.net\/wp-content\/uploads\/microscope-h80.jpg\" alt=\"\" width=\"70\" height=\"80\" \/>For many years, we have developed specific tissue preparation and imaging techniques for 3D high-resolution imaging of micro-vascular networks using X-ray tomography or laser sheet microscopy (<a href=\"#tp_77\">Plourabou\u00e9 et al. 2004<\/a>, <a title=\"From whole-organ imaging to in-silico blood flow modeling: a new multi-scale network analysis for revisiting tissue functional anatomy Journal Article PLOS Computational Biology\" href=\"#tp_5\">Kennel et al. 2020<\/a>). We have also developed specific imaging analysis post-processing to fill gaps in interrupted vessel imaging (Risser et al. J. Biomedical imaging).\n\nWe then found structural units associated with:\n<ul>\n \t<li>specific functions in brain tissue, i.e. robustness and compensatory distribution of blood in primate cerebral cortex (<a href=\"#tp_55\">Guibert et al. 2010<\/a>)<\/li>\n \t<li>specific browning abilities in fat tissue lobules (<a href=\"#tp_9\">Dichamp et al. 2019<\/a>). We also found, using graph clustering techniques, an objective procedure to identify fat lobules as strong clustering perfusion units.<\/li>\n<\/ul>\nWe also modeled the pressure and flux distribution in micro-vascular complex networks (<a href=\"#tp_55\">Guibert et al. 2010<\/a>, <a href=\"#tp_5\">Kennel et al 2020<\/a>) so as to evaluate perfusion heterogeneity, and exchange fluxes between functional units.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b7b4766 elementor-widget elementor-widget-text-editor\" data-id=\"b7b4766\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" class=\"fp_icons alignnone size-full wp-image-986\" src=\"https:\/\/franckplouraboue.net\/wp-content\/uploads\/next-h80.jpg\" alt=\"\" width=\"64\" height=\"80\" \/>Recently, we analysed how to <strong>find the source of a singular event leading to a pressure wave<\/strong> propagating in a graph, by pressure signal detection at various location using a few sensors distributed inside the network.\nIn the future we would like to adapt and develop source identification in networks for various applications, and also develop methods to address heat and mass transport inside these complex networks.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b820c6a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b820c6a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8176be3\" data-id=\"8176be3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a6f4bd9 elementor--h-position-center elementor--v-position-middle elementor-arrows-position-inside elementor-pagination-position-inside elementor-widget elementor-widget-slides\" data-id=\"a6f4bd9\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;navigation&quot;:&quot;both&quot;,&quot;autoplay&quot;:&quot;yes&quot;,&quot;pause_on_hover&quot;:&quot;yes&quot;,&quot;pause_on_interaction&quot;:&quot;yes&quot;,&quot;autoplay_speed&quot;:5000,&quot;infinite&quot;:&quot;yes&quot;,&quot;transition&quot;:&quot;slide&quot;,&quot;transition_speed&quot;:500}\" data-widget_type=\"slides.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-swiper\">\n\t\t\t\t\t<div class=\"elementor-slides-wrapper elementor-main-swiper swiper\" role=\"region\" aria-roledescription=\"carousel\" aria-label=\"Slides\" dir=\"ltr\" data-animation=\"fadeInUp\">\n\t\t\t\t<div class=\"swiper-wrapper elementor-slides\">\n\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-repeater-item-db13532 swiper-slide\" role=\"group\" aria-roledescription=\"slide\"><div class=\"swiper-slide-bg elementor-ken-burns elementor-ken-burns--in\" role=\"img\" aria-label=\"NETW From whole organ\"><\/div><div class=\"elementor-background-overlay\"><\/div><a class=\"swiper-slide-inner\" href=\"#tp_5\"><div class=\"swiper-slide-contents\"><div class=\"elementor-slide-heading\">From whole-organ imaging to in-silico blood flow modeling: a new multi-scale network analysis for revisiting tissue functional anatomy<\/div><div class=\"elementor-slide-description\">Projection of a full fat pad tissue imaged with an LSFM.<\/div><div  class=\"elementor-button elementor-slide-button elementor-size-sm\">See Kennel et al, 2020<\/div><\/div><\/a><\/div><div class=\"elementor-repeater-item-2156b57 swiper-slide\" role=\"group\" aria-roledescription=\"slide\"><div class=\"swiper-slide-bg\" role=\"img\" aria-label=\"Toward quantitative 3D analysis\"><\/div><div class=\"elementor-background-overlay\"><\/div><a class=\"swiper-slide-inner\" href=\"#tp_13\"><div class=\"swiper-slide-contents\"><div class=\"elementor-slide-heading\">Toward quantitative three-dimensional microvascular networks segmentation with multiview light-sheet fluorescence microscopy<\/div><div  class=\"elementor-button elementor-slide-button elementor-size-sm\">See Kennel et al, 2018<\/div><\/div><\/a><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-prev\" role=\"button\" tabindex=\"0\" aria-label=\"Previous slide\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"eicon-chevron-left\"><\/i>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-next\" role=\"button\" tabindex=\"0\" aria-label=\"Next slide\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"eicon-chevron-right\"><\/i>\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"swiper-pagination\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6c16e53 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6c16e53\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-1270d30\" data-id=\"1270d30\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7b169ec elementor-widget elementor-widget-video\" data-id=\"7b169ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;video_type&quot;:&quot;hosted&quot;,&quot;mute&quot;:&quot;yes&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-hosted-video elementor-wrapper elementor-open-inline\">\n\t\t\t\t\t<video class=\"elementor-video\" src=\"http:\/\/franckplouraboue.net\/wp-content\/uploads\/2021\/07\/gephi_dynamic_time.ogv\" controls=\"\" preload=\"metadata\" muted=\"muted\" controlsList=\"nodownload\"><\/video>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-0f777ce\" data-id=\"0f777ce\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b808819 elementor-widget elementor-widget-text-editor\" data-id=\"b808819\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Dynamic invasion of clusters in adipose tissue<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4ced079 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4ced079\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-13fbf85\" data-id=\"13fbf85\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d7ca413 elementor-widget elementor-widget-heading\" data-id=\"d7ca413\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-xl\">Publications<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-555a461 elementor-widget elementor-widget-text-editor\" data-id=\"555a461\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><\/form><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2024\">2024<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('103','tp_links')\" style=\"cursor:pointer;\">Review on water-hammer waves mechanical and theoretical foundations<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">European Journal of Mechanics &#8211; B\/Fluids, <\/span><span class=\"tp_pub_additional_volume\">vol. 108, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_103\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('103','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_103\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('103','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_103\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('103','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_103\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1016\/j.euromechflu.2024.08.001\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('103','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_103\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Plourabou\u00e92024,<br \/>\r\ntitle = {Review on water-hammer waves mechanical and theoretical foundations},<br \/>\r\nauthor = {Plourabou\u00e9, Franck},<br \/>\r\ndoi = {10.1016\/j.euromechflu.2024.08.001},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-08-01},<br \/>\r\njournal = {European Journal of Mechanics - B\/Fluids},<br \/>\r\nvolume = {108},<br \/>\r\nabstract = {Water-hammer waves propagation is an important phenomenon arising in numerous applications. It is also a long-standing topic in the fields of mechanics, mechanical engineering and civil engineering. This review first presents the basic mechanism associated with water-hammer waves as well as a brief historical survey of the topic. It then develops along the twentieth century progress both regarding the Fluid\u2013Structure-Interaction (FSI) influence and wave dissipation modeling. The second part of the review presents recent developments shading new lights on some aspects of the wave propagation with a fluid mechanical viewpoint. This review covers various aspects related to the influence of visco-elastic properties of the pipe\u2019s wall, asymptotic analysis as well as wave propagation within networks. Albeit discursive in many places, this review also tries to establish and derive many of the presented results from first principles, as well as emphasizes the theoretical understanding of the topic.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('103','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_103\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Water-hammer waves propagation is an important phenomenon arising in numerous applications. It is also a long-standing topic in the fields of mechanics, mechanical engineering and civil engineering. This review first presents the basic mechanism associated with water-hammer waves as well as a brief historical survey of the topic. It then develops along the twentieth century progress both regarding the Fluid\u2013Structure-Interaction (FSI) influence and wave dissipation modeling. The second part of the review presents recent developments shading new lights on some aspects of the wave propagation with a fluid mechanical viewpoint. This review covers various aspects related to the influence of visco-elastic properties of the pipe\u2019s wall, asymptotic analysis as well as wave propagation within networks. Albeit discursive in many places, this review also tries to establish and derive many of the presented results from first principles, as well as emphasizes the theoretical understanding of the topic.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('103','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_103\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.euromechflu.2024.08.001\" title=\"Follow DOI:10.1016\/j.euromechflu.2024.08.001\" target=\"_blank\">doi:10.1016\/j.euromechflu.2024.08.001<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('103','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('105','tp_links')\" style=\"cursor:pointer;\">Quantum graph wave external triggering: Energy transfer and damping<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Physical Review E, <\/span><span class=\"tp_pub_additional_volume\">vol. 109, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_105\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('105','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_105\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('105','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_105\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('105','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_105\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1103\/PhysRevE.109.054310\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('105','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_105\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Plourabou\u00e92024b,<br \/>\r\ntitle = {Quantum graph wave external triggering: Energy transfer and damping},<br \/>\r\nauthor = {Plourabou\u00e9, Franck},<br \/>\r\ndoi = {10.1103\/PhysRevE.109.054310},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-05-01},<br \/>\r\njournal = {Physical Review E},<br \/>\r\nvolume = {109},<br \/>\r\nabstract = {The propagation of wave trains resulting from a local external trigger inside a network described by a metric graph is analyzed using quantum graph theory. The external trigger is a finite-time perturbation imposed at one vertex of the graph, leading to a consecutive wave train into the network, supposedly at rest before the applied external perturbation. A complete analytical solution for the induced wave train is found having a specific spectrum as well as mode's amplitudes. Furthermore the precise condition by which the external trigger can transfer a maximal energy to any specific natural mode of the quantum graph is derived. Finally, the wave damping associated with boundary-layer dissipation is computed within a multiple time-scale asymptotic analysis. Exponential damping rates are explicitly found related to their corresponding mode's eigenvalue. Each mode energy is then obtained, as well as their exponential damping rate. The relevance of these results to the physics of waves within networks are discussed.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('105','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_105\" style=\"display:none;\"><div class=\"tp_abstract_entry\">The propagation of wave trains resulting from a local external trigger inside a network described by a metric graph is analyzed using quantum graph theory. The external trigger is a finite-time perturbation imposed at one vertex of the graph, leading to a consecutive wave train into the network, supposedly at rest before the applied external perturbation. A complete analytical solution for the induced wave train is found having a specific spectrum as well as mode&#8217;s amplitudes. Furthermore the precise condition by which the external trigger can transfer a maximal energy to any specific natural mode of the quantum graph is derived. Finally, the wave damping associated with boundary-layer dissipation is computed within a multiple time-scale asymptotic analysis. Exponential damping rates are explicitly found related to their corresponding mode&#8217;s eigenvalue. Each mode energy is then obtained, as well as their exponential damping rate. The relevance of these results to the physics of waves within networks are discussed.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('105','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_105\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1103\/PhysRevE.109.054310\" title=\"Follow DOI:10.1103\/PhysRevE.109.054310\" target=\"_blank\">doi:10.1103\/PhysRevE.109.054310<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('105','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bayle, Alexandre;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('106','tp_links')\" style=\"cursor:pointer;\">Laplace-Domain Fluid\u2013Structure Interaction Solutions for Water Hammer Waves in a Pipe<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Hydraulic Engineering, <\/span><span class=\"tp_pub_additional_volume\">vol. 150, <\/span><span class=\"tp_pub_additional_year\">2024<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_106\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('106','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_106\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('106','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_106\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('106','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_106\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1061\/JHEND8.HYENG-13781\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('106','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_106\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bayle2024,<br \/>\r\ntitle = {Laplace-Domain Fluid\u2013Structure Interaction Solutions for Water Hammer Waves in a Pipe},<br \/>\r\nauthor = {Bayle, Alexandre and Plourabou\u00e9, Franck},<br \/>\r\ndoi = {10.1061\/JHEND8.HYENG-13781},<br \/>\r\nyear  = {2024},<br \/>\r\ndate = {2024-03-01},<br \/>\r\nurldate = {2024-03-01},<br \/>\r\njournal = {Journal of Hydraulic Engineering},<br \/>\r\nvolume = {150},<br \/>\r\nabstract = {Numerical methods generally need analytical solutions as test cases and validations in simplified problems. This work provides Laplace-domain explicit analytic solutions for fluid\u2013structure interaction (FSI) water hammer waves within a pipe. Rather than applying the transfer matrix method (TMM) to the FSI four equations, it is transposed to the equivalent two-wave propagating problem considered instead. Using the classical wave matrix diagonalization approach permits decoupling the waves\u2019 propagation while at the same time coupling boundary conditions in the diagonal base. This approach permits the transfer matrix for coupled waves boundary conditions to be provided so as to obtain a Laplace-domain solution for the pressure\/stress vector solution. This solution is written in a general framework that can be adapted for general applied boundary conditions for a single pipe. Three sets of boundary conditions are considered as examples and illustrations from solving the inverse Laplace transform of the considered explicit solutions. Consistent results with recently proposed time-domain solutions are found, and a one-to-one mapping between Laplace-domain and time-domain approaches is also established. This permits finding the discrete spectrum of FSI water hammer wave mode decomposition from TMM solutions.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('106','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_106\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Numerical methods generally need analytical solutions as test cases and validations in simplified problems. This work provides Laplace-domain explicit analytic solutions for fluid\u2013structure interaction (FSI) water hammer waves within a pipe. Rather than applying the transfer matrix method (TMM) to the FSI four equations, it is transposed to the equivalent two-wave propagating problem considered instead. Using the classical wave matrix diagonalization approach permits decoupling the waves\u2019 propagation while at the same time coupling boundary conditions in the diagonal base. This approach permits the transfer matrix for coupled waves boundary conditions to be provided so as to obtain a Laplace-domain solution for the pressure\/stress vector solution. This solution is written in a general framework that can be adapted for general applied boundary conditions for a single pipe. Three sets of boundary conditions are considered as examples and illustrations from solving the inverse Laplace transform of the considered explicit solutions. Consistent results with recently proposed time-domain solutions are found, and a one-to-one mapping between Laplace-domain and time-domain approaches is also established. This permits finding the discrete spectrum of FSI water hammer wave mode decomposition from TMM solutions.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('106','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_106\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1061\/JHEND8.HYENG-13781\" title=\"Follow DOI:10.1061\/JHEND8.HYENG-13781\" target=\"_blank\">doi:10.1061\/JHEND8.HYENG-13781<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('106','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2023\">2023<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bayle, A.;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('110','tp_links')\" style=\"cursor:pointer;\">Low\u2013Mach number asymptotic analysis of fluid\u2013structure-interaction (FSI) pressure waves inside an elastic tube<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">European Journal of Mechanics &#8211; B\/Fluids, <\/span><span class=\"tp_pub_additional_volume\">vol. 101, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_110\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('110','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_110\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('110','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_110\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1016\/j.euromechflu.2023.04.014\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('110','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_110\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bayle2023,<br \/>\r\ntitle = {Low\u2013Mach number asymptotic analysis of fluid\u2013structure-interaction (FSI) pressure waves inside an elastic tube},<br \/>\r\nauthor = {Bayle, A. and Plourabou\u00e9, Franck},<br \/>\r\ndoi = {10.1016\/j.euromechflu.2023.04.014},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-05-01},<br \/>\r\nurldate = {2023-05-01},<br \/>\r\njournal = {European Journal of Mechanics - B\/Fluids},<br \/>\r\nvolume = {101},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('110','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_110\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.euromechflu.2023.04.014\" title=\"Follow DOI:10.1016\/j.euromechflu.2023.04.014\" target=\"_blank\">doi:10.1016\/j.euromechflu.2023.04.014<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('110','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bayle, A.;  Rein, Florian;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('111','tp_links')\" style=\"cursor:pointer;\">Frequency varying rheology-based fluid\u2013structure-interactions waves in liquid-filled visco-elastic pipes<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Sound and Vibration, <\/span><span class=\"tp_pub_additional_volume\">vol. 562, <\/span><span class=\"tp_pub_additional_pages\">pp. 117824, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_111\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('111','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_111\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('111','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_111\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('111','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_111\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1016\/j.jsv.2023.117824\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('111','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_111\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bayle2023b,<br \/>\r\ntitle = {Frequency varying rheology-based fluid\u2013structure-interactions waves in liquid-filled visco-elastic pipes},<br \/>\r\nauthor = {Bayle, A. and Rein, Florian and Plourabou\u00e9, Franck},<br \/>\r\ndoi = {10.1016\/j.jsv.2023.117824},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-05-01},<br \/>\r\njournal = {Journal of Sound and Vibration},<br \/>\r\nvolume = {562},<br \/>\r\npages = {117824},<br \/>\r\nabstract = {This contribution proposes a new rheology-based model for water-hammer wave propagation in visco-elastic pipes. Using a long wavelength analysis and a generalized frequency-dependent Hooke-law for the stress\/strain relation, the pressure\/longitudinal stress coupled wave system is derived. In this general framework, a visco-elastic Fluid\u2013Structure Interaction (FSI) four equations model is derived by having four visco-elastic kernels associated with the non-local time response of the visco-elastic solid. The explicit dependence of these kernels with the material creep function and the pipe dimension is found. Considering a general linear visco-elastic rheology, the four visco-elastic kernels, and the corresponding creep function are explicitly derived in frequency and time-domain versus four visco-elastic parameters. For a given set of boundary conditions, a general analytical solution for the pressure\/stress water hammer wave is obtained in frequency domain. The model\u2019s predictions are successfully compared with experimental measurements as well as with other models adjusted to the same experimental data set by calibrating the model\u2019s parameter. The proposed model can be used in many other contexts with the specific ability to distinguish the intrinsic visco-elastic rheology from the considered pipe geometry and boundary conditions.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('111','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_111\" style=\"display:none;\"><div class=\"tp_abstract_entry\">This contribution proposes a new rheology-based model for water-hammer wave propagation in visco-elastic pipes. Using a long wavelength analysis and a generalized frequency-dependent Hooke-law for the stress\/strain relation, the pressure\/longitudinal stress coupled wave system is derived. In this general framework, a visco-elastic Fluid\u2013Structure Interaction (FSI) four equations model is derived by having four visco-elastic kernels associated with the non-local time response of the visco-elastic solid. The explicit dependence of these kernels with the material creep function and the pipe dimension is found. Considering a general linear visco-elastic rheology, the four visco-elastic kernels, and the corresponding creep function are explicitly derived in frequency and time-domain versus four visco-elastic parameters. For a given set of boundary conditions, a general analytical solution for the pressure\/stress water hammer wave is obtained in frequency domain. The model\u2019s predictions are successfully compared with experimental measurements as well as with other models adjusted to the same experimental data set by calibrating the model\u2019s parameter. The proposed model can be used in many other contexts with the specific ability to distinguish the intrinsic visco-elastic rheology from the considered pipe geometry and boundary conditions.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('111','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_111\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.jsv.2023.117824\" title=\"Follow DOI:10.1016\/j.jsv.2023.117824\" target=\"_blank\">doi:10.1016\/j.jsv.2023.117824<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('111','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Shen, Zaiyi;  Plourabou\u00e9, Franck;  Lintuvuori, Juho;  Zhang, Hengdi;  Abbasi, Mehdi;  Misbah, C.<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('112','tp_links')\" style=\"cursor:pointer;\">Anomalous Diffusion of Deformable Particles in a Honeycomb Network<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Physical Review Letters, <\/span><span class=\"tp_pub_additional_volume\">vol. 130, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_112\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('112','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_112\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('112','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_112\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('112','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_112\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1103\/PhysRevLett.130.014001\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('112','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_112\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Shen2023,<br \/>\r\ntitle = {Anomalous Diffusion of Deformable Particles in a Honeycomb Network},<br \/>\r\nauthor = {Shen, Zaiyi and Plourabou\u00e9, Franck and Lintuvuori, Juho and Zhang, Hengdi and Abbasi, Mehdi and Misbah, C.},<br \/>\r\ndoi = {10.1103\/PhysRevLett.130.014001},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-01-01},<br \/>\r\njournal = {Physical Review Letters},<br \/>\r\nvolume = {130},<br \/>\r\nabstract = {Transport of deformable particles in a honeycomb network is studied numerically. It is shown that the particle deformability has a strong impact on their distribution in the network. For sufficiently soft particles, we observe a short memory behavior from one bifurcation to the next, and the overall behavior consists in a random partition of particles, exhibiting a diffusionlike transport. On the contrary, stiff enough particles undergo a biased distribution whereby they follow a deterministic partition at bifurcations, due to long memory. This leads to a lateral ballistic drift in the network at small concentration and anomalous superdiffusion at larger concentration, even though the network is ordered. A further increase of concentration enhances particle-particle interactions which shorten the memory effect, turning the particle anomalous diffusion into a classical diffusion. We expect the drifting and diffusive regime transition to be generic for deformable particles.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('112','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_112\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Transport of deformable particles in a honeycomb network is studied numerically. It is shown that the particle deformability has a strong impact on their distribution in the network. For sufficiently soft particles, we observe a short memory behavior from one bifurcation to the next, and the overall behavior consists in a random partition of particles, exhibiting a diffusionlike transport. On the contrary, stiff enough particles undergo a biased distribution whereby they follow a deterministic partition at bifurcations, due to long memory. This leads to a lateral ballistic drift in the network at small concentration and anomalous superdiffusion at larger concentration, even though the network is ordered. A further increase of concentration enhances particle-particle interactions which shorten the memory effect, turning the particle anomalous diffusion into a classical diffusion. We expect the drifting and diffusive regime transition to be generic for deformable particles.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('112','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_112\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1103\/PhysRevLett.130.014001\" title=\"Follow DOI:10.1103\/PhysRevLett.130.014001\" target=\"_blank\">doi:10.1103\/PhysRevLett.130.014001<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('112','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2022\">2022<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Guibert, Romain;  Bayle, A.;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('114','tp_links')\" style=\"cursor:pointer;\">Geolocalization of water-waves origin within water distribution networks using time reversal of first event detection<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Water Research, <\/span><span class=\"tp_pub_additional_volume\">vol. 230, <\/span><span class=\"tp_pub_additional_pages\">pp. 119538, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_114\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('114','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_114\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('114','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_114\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('114','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_114\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1016\/j.watres.2022.119538\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('114','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_114\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Guibert2022,<br \/>\r\ntitle = {Geolocalization of water-waves origin within water distribution networks using time reversal of first event detection},<br \/>\r\nauthor = {Guibert, Romain and Bayle, A. and Plourabou\u00e9, Franck},<br \/>\r\ndoi = {10.1016\/j.watres.2022.119538},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-12-01},<br \/>\r\njournal = {Water Research},<br \/>\r\nvolume = {230},<br \/>\r\npages = {119538},<br \/>\r\nabstract = {Drinking water distribution networks in urban areas are daily subject to fast propagating pressure waves resulting from routine operations. These water-hammer waves lead to structural aging and facility damages, the origin of which is not easy to find but are sometimes of high managerial interest. In this contribution, we demonstrate that using a reasonable number of high-frequency pressure detectors distributed within the network combined with a proper post-processing method permits a close geolocalization of the damaging wave origin. The method is first tested and validated on a real water distribution network having approximately 26000 pipes, whereas considering a known, prescribed waveorigin, so that the sensitivity to sensor number (sensor spatial density), sensor location and signal-to-noise ratio on the geolocalization robustness are analyzed in detail. It is then applied and illustrated over real sensor recordings the result of which are validated on the field from history matching. This paper thus presents the first field-scale geolocalization of water-hammer events origin test as well conditions for which, given sensor density and signal-to-noise ratio, the geolocalization success is to be expected.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('114','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_114\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Drinking water distribution networks in urban areas are daily subject to fast propagating pressure waves resulting from routine operations. These water-hammer waves lead to structural aging and facility damages, the origin of which is not easy to find but are sometimes of high managerial interest. In this contribution, we demonstrate that using a reasonable number of high-frequency pressure detectors distributed within the network combined with a proper post-processing method permits a close geolocalization of the damaging wave origin. The method is first tested and validated on a real water distribution network having approximately 26000 pipes, whereas considering a known, prescribed waveorigin, so that the sensitivity to sensor number (sensor spatial density), sensor location and signal-to-noise ratio on the geolocalization robustness are analyzed in detail. It is then applied and illustrated over real sensor recordings the result of which are validated on the field from history matching. This paper thus presents the first field-scale geolocalization of water-hammer events origin test as well conditions for which, given sensor density and signal-to-noise ratio, the geolocalization success is to be expected.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('114','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_114\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.watres.2022.119538\" title=\"Follow DOI:10.1016\/j.watres.2022.119538\" target=\"_blank\">doi:10.1016\/j.watres.2022.119538<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('114','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bayle, A.;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('115','tp_links')\" style=\"cursor:pointer;\">Spectral properties of Fluid Structure Interaction pressure\/stress waves in liquid filled pipes<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Wave motion, <\/span><span class=\"tp_pub_additional_volume\">vol. 116, <\/span><span class=\"tp_pub_additional_pages\">pp. 103081, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_115\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('115','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_115\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('115','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_115\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('115','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_115\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1016\/j.wavemoti.2022.103081\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('115','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_115\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Bayle2022,<br \/>\r\ntitle = {Spectral properties of Fluid Structure Interaction pressure\/stress waves in liquid filled pipes},<br \/>\r\nauthor = {Bayle, A. and Plourabou\u00e9, Franck},<br \/>\r\ndoi = {10.1016\/j.wavemoti.2022.103081},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-11-01},<br \/>\r\njournal = {Wave motion},<br \/>\r\nvolume = {116},<br \/>\r\npages = {103081},<br \/>\r\nabstract = {We hereby develop a theoretical framework for analyzing Fluid Structure Interaction (FSI) waves propagation occurring in liquid filled pipes to manage a large family set of boundary conditions (e.g. junctions coupling effects). A self-adjoint operator theory framework leads to the analytical derivation of a transcendental equations for operator\u2019s spectrum. The latter provides the system\u2019s natural resonant frequencies as well as permit to find the discrete mode orthogonal basis decomposition. This theoretical framework also permits to demonstrate that the spectrum is uniquely composed into simple eigenvalues enabling explicit time-domain solutions from inverse-Laplace transform. The analysis is directly conducted in the time-domain but the obtained spectrum also applies to Fourier transformed frequency analysis. The obtained analytical solutions are successfully confronted with numerical simulation obtained using the Method of characteristic (MOC) for the same four equations (FSI) model on the very same configurations. The spectrum sensitivity matrix is also explicitly evaluated.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('115','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_115\" style=\"display:none;\"><div class=\"tp_abstract_entry\">We hereby develop a theoretical framework for analyzing Fluid Structure Interaction (FSI) waves propagation occurring in liquid filled pipes to manage a large family set of boundary conditions (e.g. junctions coupling effects). A self-adjoint operator theory framework leads to the analytical derivation of a transcendental equations for operator\u2019s spectrum. The latter provides the system\u2019s natural resonant frequencies as well as permit to find the discrete mode orthogonal basis decomposition. This theoretical framework also permits to demonstrate that the spectrum is uniquely composed into simple eigenvalues enabling explicit time-domain solutions from inverse-Laplace transform. The analysis is directly conducted in the time-domain but the obtained spectrum also applies to Fourier transformed frequency analysis. The obtained analytical solutions are successfully confronted with numerical simulation obtained using the Method of characteristic (MOC) for the same four equations (FSI) model on the very same configurations. The spectrum sensitivity matrix is also explicitly evaluated.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('115','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_115\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.wavemoti.2022.103081\" title=\"Follow DOI:10.1016\/j.wavemoti.2022.103081\" target=\"_blank\">doi:10.1016\/j.wavemoti.2022.103081<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('115','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Plouraboue, Franck;  Uszes, Pierre;  Guibert, Romain<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('101','tp_links')\" style=\"cursor:pointer;\">Source identification of propagating waves inside a network<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Transactions on Network Science and Engineering, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-1, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>, <span class=\"tp_pub_additional_issn\">ISSN: 2327-4697<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_101\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('101','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_101\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('101','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_101\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('101','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_101\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1109\/TNSE.2022.3144647\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('101','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_101\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{9714021,<br \/>\r\ntitle = {Source identification of propagating waves inside a network},<br \/>\r\nauthor = {Franck Plouraboue and Pierre Uszes and Romain Guibert},<br \/>\r\ndoi = {10.1109\/TNSE.2022.3144647},<br \/>\r\nissn = {2327-4697},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-02-14},<br \/>\r\njournal = {IEEE Transactions on Network Science and Engineering},<br \/>\r\npages = {1-1},<br \/>\r\nabstract = {The localization of short events arising within a network subsequently leading to wave propagation into it, is of interest in many applications. This work extend [1] which demonstrated the identifiability of a source from two detectors in a N nodes graph. We show that, rather than a source, a boundary condition identification is also possible and demonstrate a generalyzed unicity result. Furthermore, we extend the identification algorithm proposed in [1] to an arbitrary number of sensors, and estimate its complexity which depends on sensors number $N_s$ and time dicretisation $N_t$. Increasing detectors number increases source identification robustness to noise up to a cut-off number being a small raction of N. This cutt-off detector density for efficiency in noise reduction is of practical significance. We also analyze and discuss the method sensitivity to total recording time $T_e$, sampling frequency, and signal to noise ratio. Finally we propose a pre-sectorisation to improve the systematic exploration algorithm proposed in [1] and we show a $O(N)$ drop in complexity leading to a $O(N^3)$ cost for the source identification. Several tests of the method on model and real graphs confirm and support the presented results.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('101','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_101\" style=\"display:none;\"><div class=\"tp_abstract_entry\">The localization of short events arising within a network subsequently leading to wave propagation into it, is of interest in many applications. This work extend [1] which demonstrated the identifiability of a source from two detectors in a N nodes graph. We show that, rather than a source, a boundary condition identification is also possible and demonstrate a generalyzed unicity result. Furthermore, we extend the identification algorithm proposed in [1] to an arbitrary number of sensors, and estimate its complexity which depends on sensors number $N_s$ and time dicretisation $N_t$. Increasing detectors number increases source identification robustness to noise up to a cut-off number being a small raction of N. This cutt-off detector density for efficiency in noise reduction is of practical significance. We also analyze and discuss the method sensitivity to total recording time $T_e$, sampling frequency, and signal to noise ratio. Finally we propose a pre-sectorisation to improve the systematic exploration algorithm proposed in [1] and we show a $O(N)$ drop in complexity leading to a $O(N^3)$ cost for the source identification. Several tests of the method on model and real graphs confirm and support the presented results.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('101','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_101\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/TNSE.2022.3144647\" title=\"Follow DOI:10.1109\/TNSE.2022.3144647\" target=\"_blank\">doi:10.1109\/TNSE.2022.3144647<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('101','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2021\">2021<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Aceves-Sanchez, Pedro;  Aymard, Benjamin;  Peurichard, Diane;  Kennel, Pol;  Lorsignol, Anne;  Plourabou\u00e9, Franck;  Casteilla, Louis;  Degond, Pierre<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('3','tp_links')\" style=\"cursor:pointer;\">A new model for the emergence of blood capillary networks<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Networks &amp; Heterogeneous Media, <\/span><span class=\"tp_pub_additional_volume\">vol. 16, <\/span><span class=\"tp_pub_additional_number\">no. 1, <\/span><span class=\"tp_pub_additional_pages\">pp. 91\u2013138, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_3\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.3934\/nhm.2021001\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_3\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao27422,<br \/>\r\ntitle = {A new model for the emergence of blood capillary networks},<br \/>\r\nauthor = {Pedro Aceves-Sanchez and Benjamin Aymard and Diane Peurichard and Pol Kennel and Anne Lorsignol and Franck Plourabou\u00e9 and Louis Casteilla and Pierre Degond},<br \/>\r\nurl = {https:\/\/oatao.univ-toulouse.fr\/27422\/},<br \/>\r\ndoi = {10.3934\/nhm.2021001},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-03-01},<br \/>\r\njournal = {Networks & Heterogeneous Media},<br \/>\r\nvolume = {16},<br \/>\r\nnumber = {1},<br \/>\r\npages = {91--138},<br \/>\r\npublisher = {American Institute of Sciences Mathematical},<br \/>\r\nabstract = {We propose a new model for the emergence of blood capillary networks. We assimilate the tissue and extra cellular matrix as a porous medium, using Darcy's law for describing both blood and interstitial fluid flows. Oxygen obeys a convection-diffusion-reaction equation describing advection by the blood, diffusion and consumption by the tissue. Discrete agents named capillary elements and modelling groups of endothelial cells are created or deleted according to different rules involving the oxygen concentration gradient, the blood velocity, the sheer stress or the capillary element density. Once created, a capillary element locally enhances the hydraulic conductivity matrix, contributing to a local increase of the blood velocity and oxygen flow. No connectivity between the capillary elements is imposed. The coupling between blood, oxygen flow and capillary elements provides a positive feedback mechanism which triggers the emergence of a network of channels of high hydraulic conductivity which we identify as new blood capillaries. We provide two different, biologically relevant geometrical settings and numerically analyze the influence of each of the capillary creation mechanism in detail. All mechanisms seem to concur towards a harmonious network but the most important ones are those involving oxygen gradient and sheer stress. A detailed discussion of this model with respect to the literature and its potential future developments concludes the paper.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_3\" style=\"display:none;\"><div class=\"tp_abstract_entry\">We propose a new model for the emergence of blood capillary networks. We assimilate the tissue and extra cellular matrix as a porous medium, using Darcy&#8217;s law for describing both blood and interstitial fluid flows. Oxygen obeys a convection-diffusion-reaction equation describing advection by the blood, diffusion and consumption by the tissue. Discrete agents named capillary elements and modelling groups of endothelial cells are created or deleted according to different rules involving the oxygen concentration gradient, the blood velocity, the sheer stress or the capillary element density. Once created, a capillary element locally enhances the hydraulic conductivity matrix, contributing to a local increase of the blood velocity and oxygen flow. No connectivity between the capillary elements is imposed. The coupling between blood, oxygen flow and capillary elements provides a positive feedback mechanism which triggers the emergence of a network of channels of high hydraulic conductivity which we identify as new blood capillaries. We provide two different, biologically relevant geometrical settings and numerically analyze the influence of each of the capillary creation mechanism in detail. All mechanisms seem to concur towards a harmonious network but the most important ones are those involving oxygen gradient and sheer stress. A detailed discussion of this model with respect to the literature and its potential future developments concludes the paper.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_3\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/27422\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/27422\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/27422\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3934\/nhm.2021001\" title=\"Follow DOI:10.3934\/nhm.2021001\" target=\"_blank\">doi:10.3934\/nhm.2021001<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2020\">2020<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Kennel, Pol;  Dichamp, Jules;  Barreau, Corinne;  Guissard, Christophe;  Teyssedre, Lise;  Rouquette, Jacques;  Colombelli, Julien;  Lorsignol, Anne;  Casteilla, Louis;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('5','tp_links')\" style=\"cursor:pointer;\">From whole-organ imaging to in-silico blood flow modeling: a new multi-scale network analysis for revisiting tissue functional anatomy<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">PLOS Computational Biology, <\/span><span class=\"tp_pub_additional_volume\">vol. 16, <\/span><span class=\"tp_pub_additional_number\">no. 2, <\/span><span class=\"tp_pub_additional_pages\">pp. e1007322, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_5\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('5','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_5\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('5','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_5\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('5','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_5\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1371\/journal.pcbi.1007322\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('5','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_5\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao25659,<br \/>\r\ntitle = {From whole-organ imaging to in-silico blood flow modeling: a new multi-scale network analysis for revisiting tissue functional anatomy},<br \/>\r\nauthor = {Pol Kennel and Jules Dichamp and Corinne Barreau and Christophe Guissard and Lise Teyssedre and Jacques Rouquette and Julien Colombelli and Anne Lorsignol and Louis Casteilla and Franck Plourabou\u00e9},<br \/>\r\nurl = {https:\/\/oatao.univ-toulouse.fr\/25659\/},<br \/>\r\ndoi = {10.1371\/journal.pcbi.1007322},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-02-01},<br \/>\r\nurldate = {2020-02-01},<br \/>\r\njournal = {PLOS Computational Biology},<br \/>\r\nvolume = {16},<br \/>\r\nnumber = {2},<br \/>\r\npages = {e1007322},<br \/>\r\nabstract = {We present a multi-disciplinary image-based blood flow perfusion modeling of a whole organ vascular network for analyzing both its structural and functional properties. We show how the use of Light-Sheet Fluorescence Microscopy (LSFM) permits whole-organ micro- vascular imaging, analysis and modelling. By using adapted image post-treatment workflow, we could segment, vectorize and reconstruct the entire micro-vascular network composed of 1.7 million vessels, from the tissue-scale, inside a * 25 \u00d7 5 \u00d7 1 = 125mm3 volume of the mouse fat pad, hundreds of times larger than previous studies, down to the cellular scale at micron resolution, with the entire blood perfusion modeled. Adapted network analysis revealed the structural and functional organization of meso-scale tissue as strongly connected communities of vessels. These communities share a distinct heterogeneous core region and a more homogeneous peripheral region, consistently with known biological functions of fat tissue. Graph clustering analysis also revealed two distinct robust meso-scale typical sizes (from 10 to several hundred times the cellular size), revealing, for the first time, strongly connected functional vascular communities. These community networks support heterogeneous micro-environments. This work provides the proof of concept that in-silico all-tissue perfusion modeling can reveal new structural and functional exchanges between micro-regions in tissues, found from community clusters in the vascular graph.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('5','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_5\" style=\"display:none;\"><div class=\"tp_abstract_entry\">We present a multi-disciplinary image-based blood flow perfusion modeling of a whole organ vascular network for analyzing both its structural and functional properties. We show how the use of Light-Sheet Fluorescence Microscopy (LSFM) permits whole-organ micro- vascular imaging, analysis and modelling. By using adapted image post-treatment workflow, we could segment, vectorize and reconstruct the entire micro-vascular network composed of 1.7 million vessels, from the tissue-scale, inside a * 25 \u00d7 5 \u00d7 1 = 125mm3 volume of the mouse fat pad, hundreds of times larger than previous studies, down to the cellular scale at micron resolution, with the entire blood perfusion modeled. Adapted network analysis revealed the structural and functional organization of meso-scale tissue as strongly connected communities of vessels. These communities share a distinct heterogeneous core region and a more homogeneous peripheral region, consistently with known biological functions of fat tissue. Graph clustering analysis also revealed two distinct robust meso-scale typical sizes (from 10 to several hundred times the cellular size), revealing, for the first time, strongly connected functional vascular communities. These community networks support heterogeneous micro-environments. This work provides the proof of concept that in-silico all-tissue perfusion modeling can reveal new structural and functional exchanges between micro-regions in tissues, found from community clusters in the vascular graph.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('5','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_5\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/25659\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/25659\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/25659\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1371\/journal.pcbi.1007322\" title=\"Follow DOI:10.1371\/journal.pcbi.1007322\" target=\"_blank\">doi:10.1371\/journal.pcbi.1007322<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('5','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2019\">2019<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Dichamp, Jules;  Barreau, Corinne;  Guissard, Christophe;  Carri\u00e8re, Audrey;  Martinez, Yves;  Descombes, Xavier;  P\u00e9nicaud, Luc;  Rouquette, Jacques;  Casteilla, Louis;  Plourabou\u00e9, Franck;  Lorsignol, Anne<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('9','tp_links')\" style=\"cursor:pointer;\">3D analysis of the whole subcutaneous adipose tissue reveals a complex spatial network of interconnected lobules with heterogeneous browning ability<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Scientific Reports, <\/span><span class=\"tp_pub_additional_volume\">vol. 9, <\/span><span class=\"tp_pub_additional_pages\">pp. 1\u201313, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_9\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('9','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_9\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('9','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_9\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('9','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_9\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1038\/s41598-019-43130-9\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('9','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_9\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao23852,<br \/>\r\ntitle = {3D analysis of the whole subcutaneous adipose tissue reveals a complex spatial network of interconnected lobules with heterogeneous browning ability},<br \/>\r\nauthor = {Jules Dichamp and Corinne Barreau and Christophe Guissard and Audrey Carri\u00e8re and Yves Martinez and Xavier Descombes and Luc P\u00e9nicaud and Jacques Rouquette and Louis Casteilla and Franck Plourabou\u00e9 and Anne Lorsignol},<br \/>\r\nurl = {https:\/\/rdcu.be\/bRNp0<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/23852\/},<br \/>\r\ndoi = {10.1038\/s41598-019-43130-9},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-04-01},<br \/>\r\nurldate = {2019-04-01},<br \/>\r\njournal = {Scientific Reports},<br \/>\r\nvolume = {9},<br \/>\r\npages = {1--13},<br \/>\r\npublisher = {Nature Publishing Group},<br \/>\r\nabstract = {Adipose tissue, as the main energy storage organ and through its endocrine activity, is interconnected with all physiological functions. It plays a fundamental role in energy homeostasis and in the development of metabolic disorders. Up to now, this tissue has been analysed as a pool of different cell types with very little attention paid to the organization and putative partitioning of cells. Considering the absence of a complete picture of the intimate architecture of this large soft tissue, we developed a method that combines tissue clearing, acquisition of autofluorescence or lectin signals by confocal microscopy, segmentation procedures based on contrast enhancement, and a new semi-automatic image analysis process, allowing accurate and quantitative characterization of the whole 3D fat pad organization. This approach revealed the unexpected anatomic complexity of the murine subcutaneous fat pad. Although the classical picture of adipose tissue corresponds to a superposition of simple and small ellipsoidal lobules of adipose cells separated by mesenchymal spans, our results show that segmented lobules display complex 3D poly-lobular shapes. Despite differences in shape and size, the number of these poly-lobular subunits is similar from one fat pad to another. Finally, investigation of the relationships of these subunits between each other revealed a never-described organization in two clusters with distinct molecular signatures and specific vascular and sympathetic nerve densities correlating with different browning abilities. This innovative procedure reveals that subcutaneous adipose tissue exhibits a subtle functional heterogeneity with partitioned areas, and opens new perspectives towards understanding its functioning and plasticity.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('9','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_9\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Adipose tissue, as the main energy storage organ and through its endocrine activity, is interconnected with all physiological functions. It plays a fundamental role in energy homeostasis and in the development of metabolic disorders. Up to now, this tissue has been analysed as a pool of different cell types with very little attention paid to the organization and putative partitioning of cells. Considering the absence of a complete picture of the intimate architecture of this large soft tissue, we developed a method that combines tissue clearing, acquisition of autofluorescence or lectin signals by confocal microscopy, segmentation procedures based on contrast enhancement, and a new semi-automatic image analysis process, allowing accurate and quantitative characterization of the whole 3D fat pad organization. This approach revealed the unexpected anatomic complexity of the murine subcutaneous fat pad. Although the classical picture of adipose tissue corresponds to a superposition of simple and small ellipsoidal lobules of adipose cells separated by mesenchymal spans, our results show that segmented lobules display complex 3D poly-lobular shapes. Despite differences in shape and size, the number of these poly-lobular subunits is similar from one fat pad to another. Finally, investigation of the relationships of these subunits between each other revealed a never-described organization in two clusters with distinct molecular signatures and specific vascular and sympathetic nerve densities correlating with different browning abilities. This innovative procedure reveals that subcutaneous adipose tissue exhibits a subtle functional heterogeneity with partitioned areas, and opens new perspectives towards understanding its functioning and plasticity.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('9','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_9\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/rdcu.be\/bRNp0\" title=\"https:\/\/rdcu.be\/bRNp0\" target=\"_blank\">https:\/\/rdcu.be\/bRNp0<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/23852\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/23852\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/23852\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1038\/s41598-019-43130-9\" title=\"Follow DOI:10.1038\/s41598-019-43130-9\" target=\"_blank\">doi:10.1038\/s41598-019-43130-9<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('9','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2018\">2018<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Kennel, Pol;  Teyssedre, Lise;  Colombelli, Julien;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('13','tp_links')\" style=\"cursor:pointer;\">Toward quantitative three-dimensional microvascular networks segmentation with multiview light-sheet fluorescence microscopy<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Biomedical Optics, <\/span><span class=\"tp_pub_additional_volume\">vol. 23, <\/span><span class=\"tp_pub_additional_number\">no. 08, <\/span><span class=\"tp_pub_additional_pages\">pp. 1\u201315, <\/span><span class=\"tp_pub_additional_year\">2018<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_13\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('13','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_13\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('13','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_13\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('13','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_13\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1117\/1.JBO.23.8.086002\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('13','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_13\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao20743,<br \/>\r\ntitle = {Toward quantitative three-dimensional microvascular networks segmentation with multiview light-sheet fluorescence microscopy},<br \/>\r\nauthor = {Pol Kennel and Lise Teyssedre and Julien Colombelli and Franck Plourabou\u00e9},<br \/>\r\nurl = {https:\/\/oatao.univ-toulouse.fr\/20743\/},<br \/>\r\ndoi = {10.1117\/1.JBO.23.8.086002},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-08-01},<br \/>\r\njournal = {Journal of Biomedical Optics},<br \/>\r\nvolume = {23},<br \/>\r\nnumber = {08},<br \/>\r\npages = {1--15},<br \/>\r\npublisher = {Society of Photo-optical Instrumentation Engineers},<br \/>\r\nabstract = {Three-dimensional (3-D) large-scale imaging of microvascular networks is of interest in various areas of biology and medicine related to structural, functional, developmental, and pathological issues. Light-sheet fluorescence microscopy (LSFM) techniques are rapidly spreading and are now on the way to offer operational solutions for large-scale tissue imaging. This contribution describes how reliable vessel segmentation can be handled from LSFM data in very large tissue volumes using a suitable image analysis workflow. Since capillaries are tubular objects of a few microns scale radius, they represent challenging structures to reliably reconstruct without distortion and artifacts. We provide a systematic analysis of multiview deconvolution image processing workflow to control and evaluate the accuracy of the reconstructed vascular network using various low to high level, metrics. We show that even if low-level structural metrics are sensitive to isotropic imaging enhancement provided by a larger number of views, functional high-level metrics, including perfusion permeability, are less sensitive. Hence, combining deconvolution and registration onto a few number of views appears sufficient for a reliable quantitative 3-D vessel segmentation for their possible use for perfusion modeling.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('13','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_13\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Three-dimensional (3-D) large-scale imaging of microvascular networks is of interest in various areas of biology and medicine related to structural, functional, developmental, and pathological issues. Light-sheet fluorescence microscopy (LSFM) techniques are rapidly spreading and are now on the way to offer operational solutions for large-scale tissue imaging. This contribution describes how reliable vessel segmentation can be handled from LSFM data in very large tissue volumes using a suitable image analysis workflow. Since capillaries are tubular objects of a few microns scale radius, they represent challenging structures to reliably reconstruct without distortion and artifacts. We provide a systematic analysis of multiview deconvolution image processing workflow to control and evaluate the accuracy of the reconstructed vascular network using various low to high level, metrics. We show that even if low-level structural metrics are sensitive to isotropic imaging enhancement provided by a larger number of views, functional high-level metrics, including perfusion permeability, are less sensitive. Hence, combining deconvolution and registration onto a few number of views appears sufficient for a reliable quantitative 3-D vessel segmentation for their possible use for perfusion modeling.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('13','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_13\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/20743\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/20743\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/20743\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1117\/1.JBO.23.8.086002\" title=\"Follow DOI:10.1117\/1.JBO.23.8.086002\" target=\"_blank\">doi:10.1117\/1.JBO.23.8.086002<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('13','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2017\">2017<\/h3><div class=\"tp_publication tp_publication_online\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Kennel, Pol;  Fonta, Caroline;  Guibert, Romain;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('22','tp_links')\" style=\"cursor:pointer;\">Analysis of vascular homogeneity and anisotropy on high-resolution primate brain imaging<\/a> <span class=\"tp_pub_type tp_  online\">Online<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_year\">2017<\/span><span class=\"tp_pub_additional_urldate\">, visited: 01.01.2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_22\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('22','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_22\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('22','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_22\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('22','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_22\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1002\/hbm.23766\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('22','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_22\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@online{oatao18367,<br \/>\r\ntitle = {Analysis of vascular homogeneity and anisotropy on high-resolution primate brain imaging},<br \/>\r\nauthor = {Pol Kennel and Caroline Fonta and Romain Guibert and Franck Plourabou\u00e9},<br \/>\r\nurl = {http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/hbm.23766\/abstract<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/18367\/},<br \/>\r\ndoi = {10.1002\/hbm.23766},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-01-01},<br \/>\r\nurldate = {2017-01-01},<br \/>\r\njournal = {Human Brain Mapping},<br \/>\r\npages = {1--22},<br \/>\r\npublisher = {Wiley},<br \/>\r\nabstract = {Using a systematic investigation of brain blood volume, in high-resolution synchrotron 3D images of microvascular structures within cortical regions of a primate brain, we challenge several basic questions regarding possible vascular bias in high-resolution functional neuroimaging. We present a bilateral comparison of cortical regions, where we analyze relative vascular volume in voxels from 150 to 1000 lm side lengths in the white and grey matter. We show that, if voxel size reaches a scale smaller than 300 mm, the vascular volume can no longer be considered homogeneous, either within one hemisphere or in bilateral comparison between samples. We demonstrate that voxel size influences the comparison between vessel-relative volume distributions depending on the scale considered (i.e., hemisphere, lobe, or sample). Furthermore, we also investigate how voxel anisotropy and orientation can affect the apparent vascular volume, in accordance with actual fMRI voxel sizes. These findings are discussed from the various perspectives of high-resolution brain functional imaging},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {online}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('22','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_22\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Using a systematic investigation of brain blood volume, in high-resolution synchrotron 3D images of microvascular structures within cortical regions of a primate brain, we challenge several basic questions regarding possible vascular bias in high-resolution functional neuroimaging. We present a bilateral comparison of cortical regions, where we analyze relative vascular volume in voxels from 150 to 1000 lm side lengths in the white and grey matter. We show that, if voxel size reaches a scale smaller than 300 mm, the vascular volume can no longer be considered homogeneous, either within one hemisphere or in bilateral comparison between samples. We demonstrate that voxel size influences the comparison between vessel-relative volume distributions depending on the scale considered (i.e., hemisphere, lobe, or sample). Furthermore, we also investigate how voxel anisotropy and orientation can affect the apparent vascular volume, in accordance with actual fMRI voxel sizes. These findings are discussed from the various perspectives of high-resolution brain functional imaging<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('22','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_22\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/hbm.23766\/abstract\" title=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/hbm.23766\/abstract\" target=\"_blank\">http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/hbm.23766\/abstract<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/18367\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/18367\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/18367\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1002\/hbm.23766\" title=\"Follow DOI:10.1002\/hbm.23766\" target=\"_blank\">doi:10.1002\/hbm.23766<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('22','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2016\">2016<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Barreau, Corinne;  Labit, Elodie;  Guissard, Christophe;  Rouquette, Jacques;  Boizeau, Marie-Laure;  Koumassi, Souleymane Gani;  Carri\u00e8re, Audrey;  Jeanson, Yannick;  Berger-M\u00fcller, Sandra;  Dromard, C\u00e9cile;  Plourabou\u00e9, Franck;  Casteilla, Louis;  Lorsignol, Anne<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('26','tp_links')\" style=\"cursor:pointer;\">Regionalization of browning revealed by whole subcutaneous adipose tissue imaging<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Obesity, <\/span><span class=\"tp_pub_additional_volume\">vol. 00, <\/span><span class=\"tp_pub_additional_number\">no. 00, <\/span><span class=\"tp_pub_additional_pages\">pp. 1\u20139, <\/span><span class=\"tp_pub_additional_year\">2016<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_26\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('26','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_26\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('26','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_26\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('26','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_26\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1002\/oby.21455\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('26','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_26\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao15674,<br \/>\r\ntitle = {Regionalization of browning revealed by whole subcutaneous adipose tissue imaging},<br \/>\r\nauthor = {Corinne Barreau and Elodie Labit and Christophe Guissard and Jacques Rouquette and Marie-Laure Boizeau and Souleymane Gani Koumassi and Audrey Carri\u00e8re and Yannick Jeanson and Sandra Berger-M\u00fcller and C\u00e9cile Dromard and Franck Plourabou\u00e9 and Louis Casteilla and Anne Lorsignol},<br \/>\r\nurl = {http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/oby.21455\/full<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/15674\/},<br \/>\r\ndoi = {10.1002\/oby.21455},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-03-01},<br \/>\r\nurldate = {2016-03-01},<br \/>\r\njournal = {Obesity},<br \/>\r\nvolume = {00},<br \/>\r\nnumber = {00},<br \/>\r\npages = {1--9},<br \/>\r\npublisher = {Wiley},<br \/>\r\nabstract = {Objective: White and brown adipose tissues play a major role in the regulation of metabolic functions. With the explosion of obesity and metabolic disorders, the interest in adipocyte biology is growing constantly. While several studies have demonstrated functional differences between adipose fat pads, especially in their involvement in metabolic diseases, there are no data available on possible heterogeneity within an adipose depot.<br \/>\r\nMethods: This study investigated the three-dimensional (3-D) organization of the inguinal fat pad in adult mice by combining adipose tissue clearing and autofluorescence signal acquisition by confocal microscopy. In addition, the study analyzed the expression of genes involved in adipocyte biology and browning at the mARN and protein levels in distinct areas of the inguinal adipose tissue, in control conditions and after cold exposure. <br \/>\r\nResults: Semiautomated 3-D image analysis revealed an organization of the fat depot showing two regions: the core was structured into segmented lobules, whereas the periphery appeared unsegmented. Perilipin immunostaining showed that most of the adipocytes located in the core region had smaller lipid droplets, suggesting a brown-like phenotype. qPCR analysis showed a higher expression of the browning markers Ucp1, Prdm16, Ppargc1a, and Cidea in the core region than at the periphery. Finally, cold exposure induced upregulation of thermogenic gene expression associated with an increase of UCP1 protein, specifically in the core region of the inguinal fat depot. <br \/>\r\nConclusions: Altogether, these data demonstrate a structural and functional heterogeneity of the inguinal fat pad, with an anatomically restricted browning process in the core area.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('26','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_26\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Objective: White and brown adipose tissues play a major role in the regulation of metabolic functions. With the explosion of obesity and metabolic disorders, the interest in adipocyte biology is growing constantly. While several studies have demonstrated functional differences between adipose fat pads, especially in their involvement in metabolic diseases, there are no data available on possible heterogeneity within an adipose depot.<br \/>\r\nMethods: This study investigated the three-dimensional (3-D) organization of the inguinal fat pad in adult mice by combining adipose tissue clearing and autofluorescence signal acquisition by confocal microscopy. In addition, the study analyzed the expression of genes involved in adipocyte biology and browning at the mARN and protein levels in distinct areas of the inguinal adipose tissue, in control conditions and after cold exposure. <br \/>\r\nResults: Semiautomated 3-D image analysis revealed an organization of the fat depot showing two regions: the core was structured into segmented lobules, whereas the periphery appeared unsegmented. Perilipin immunostaining showed that most of the adipocytes located in the core region had smaller lipid droplets, suggesting a brown-like phenotype. qPCR analysis showed a higher expression of the browning markers Ucp1, Prdm16, Ppargc1a, and Cidea in the core region than at the periphery. Finally, cold exposure induced upregulation of thermogenic gene expression associated with an increase of UCP1 protein, specifically in the core region of the inguinal fat depot. <br \/>\r\nConclusions: Altogether, these data demonstrate a structural and functional heterogeneity of the inguinal fat pad, with an anatomically restricted browning process in the core area.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('26','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_26\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/oby.21455\/full\" title=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/oby.21455\/full\" target=\"_blank\">http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/oby.21455\/full<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/15674\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/15674\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/15674\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1002\/oby.21455\" title=\"Follow DOI:10.1002\/oby.21455\" target=\"_blank\">doi:10.1002\/oby.21455<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('26','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2013\">2013<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Guibert, Romain;  Fonta, Caroline;  Est\u00e8ve, Fran\u00e7ois;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('42','tp_links')\" style=\"cursor:pointer;\">On the normalization of cerebral blood flow<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Cerebral Blood Flow &amp; Metabolism, <\/span><span class=\"tp_pub_additional_volume\">vol. 33, <\/span><span class=\"tp_pub_additional_pages\">pp. 669\u2013672, <\/span><span class=\"tp_pub_additional_year\">2013<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_42\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('42','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_42\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('42','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_42\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('42','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_42\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1038\/jcbfm.2013.39\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('42','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_42\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao8933,<br \/>\r\ntitle = {On the normalization of cerebral blood flow},<br \/>\r\nauthor = {Romain Guibert and Caroline Fonta and Fran\u00e7ois Est\u00e8ve and Franck Plourabou\u00e9},<br \/>\r\nurl = {www.nature.com\/jcbfm\/journal\/v33\/n5\/full\/jcbfm201339a.html<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/8933\/},<br \/>\r\ndoi = {10.1038\/jcbfm.2013.39},<br \/>\r\nyear  = {2013},<br \/>\r\ndate = {2013-05-01},<br \/>\r\nurldate = {2013-05-01},<br \/>\r\njournal = {Journal of Cerebral Blood Flow & Metabolism},<br \/>\r\nvolume = {33},<br \/>\r\npages = {669--672},<br \/>\r\npublisher = {Nature Publishing Group},<br \/>\r\nabstract = {Cerebral blood ?ow (CBF) is the most common parameter for the quanti?cation of brain?s function. Literature data indicate a widespread dispersion of values that might be related to some differences in the measurement conditions that are not properly taken into account in CBF evaluation. Using recent high-resolution imaging of the complete cortical microvasculature of primate brain, we perform extensive numerical evaluation of the cerebral perfusion. We show that blood perfusion associated with intravascular tracers should be normalized by the surface of the voxel rather than by its volume and we consistently test this result on the available literature data.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('42','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_42\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Cerebral blood ?ow (CBF) is the most common parameter for the quanti?cation of brain?s function. Literature data indicate a widespread dispersion of values that might be related to some differences in the measurement conditions that are not properly taken into account in CBF evaluation. Using recent high-resolution imaging of the complete cortical microvasculature of primate brain, we perform extensive numerical evaluation of the cerebral perfusion. We show that blood perfusion associated with intravascular tracers should be normalized by the surface of the voxel rather than by its volume and we consistently test this result on the available literature data.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('42','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_42\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"www.nature.com\/jcbfm\/journal\/v33\/n5\/full\/jcbfm201339a.html\" title=\"www.nature.com\/jcbfm\/journal\/v33\/n5\/full\/jcbfm201339a.html\" target=\"_blank\">www.nature.com\/jcbfm\/journal\/v33\/n5\/full\/jcbfm201339a.html<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/8933\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/8933\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/8933\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1038\/jcbfm.2013.39\" title=\"Follow DOI:10.1038\/jcbfm.2013.39\" target=\"_blank\">doi:10.1038\/jcbfm.2013.39<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('42','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2012\">2012<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Bardan, G\u00e9rald;  Plourabou\u00e9, Franck;  Zagzoule, Mokhtar;  Bal\u00e9dent, Olivier<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('44','tp_links')\" style=\"cursor:pointer;\">Simple Patient-Based Transmantle Pressure and Shear Estimate From Cine Phase-Contrast MRI in Cerebral Aqueduct<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Transactions on Biomedical Engineering, <\/span><span class=\"tp_pub_additional_volume\">vol. 59, <\/span><span class=\"tp_pub_additional_number\">no. 10, <\/span><span class=\"tp_pub_additional_pages\">pp. 2874\u20132883, <\/span><span class=\"tp_pub_additional_year\">2012<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_44\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('44','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_44\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('44','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_44\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('44','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_44\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1109\/TBME.2012.2210716\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('44','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_44\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao6572,<br \/>\r\ntitle = {Simple Patient-Based Transmantle Pressure and Shear Estimate From Cine Phase-Contrast MRI in Cerebral Aqueduct},<br \/>\r\nauthor = {G\u00e9rald Bardan and Franck Plourabou\u00e9 and Mokhtar Zagzoule and Olivier Bal\u00e9dent},<br \/>\r\nurl = {http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6263280<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/6572\/},<br \/>\r\ndoi = {10.1109\/TBME.2012.2210716},<br \/>\r\nyear  = {2012},<br \/>\r\ndate = {2012-10-01},<br \/>\r\nurldate = {2012-10-01},<br \/>\r\njournal = {IEEE Transactions on Biomedical Engineering},<br \/>\r\nvolume = {59},<br \/>\r\nnumber = {10},<br \/>\r\npages = {2874--2883},<br \/>\r\npublisher = {IEEE},<br \/>\r\nabstract = {From measurements of the oscillating flux of the cerebrospinal fluid (CSF) in the aqueduct of Sylvius, we elaborate a patient-based methodology for transmantle pressure (TRP) and shear evaluation. High-resolution anatomical magnetic resonance imaging first permits a precise 3-D anatomical digitalized reconstruction of the Sylvius aqueduct shape. From this, a very fast approximate numerical flow computation, nevertheless consistent with analytical predictions, is developed. Our approach includes the main contributions of inertial effects coming from the pulsatile flow and curvature effects associated with the aqueduct bending. Integrating the pressure along the aqueduct longitudinal center-line enables the total dynamic hydraulic admittances of the aqueduct to be evaluated, which is the pre-eminent contribution to the CSF pressure difference between the lateral ventricles and the subarachnoidal spaces also called the TRP. The application of the method to 20 healthy human patients validates the hypothesis of the proposed approach and provides a first database for normal aqueduct CSF flow. Finally, the implications of our results for modeling and evaluating intracranial cerebral pressure are discussed.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('44','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_44\" style=\"display:none;\"><div class=\"tp_abstract_entry\">From measurements of the oscillating flux of the cerebrospinal fluid (CSF) in the aqueduct of Sylvius, we elaborate a patient-based methodology for transmantle pressure (TRP) and shear evaluation. High-resolution anatomical magnetic resonance imaging first permits a precise 3-D anatomical digitalized reconstruction of the Sylvius aqueduct shape. From this, a very fast approximate numerical flow computation, nevertheless consistent with analytical predictions, is developed. Our approach includes the main contributions of inertial effects coming from the pulsatile flow and curvature effects associated with the aqueduct bending. Integrating the pressure along the aqueduct longitudinal center-line enables the total dynamic hydraulic admittances of the aqueduct to be evaluated, which is the pre-eminent contribution to the CSF pressure difference between the lateral ventricles and the subarachnoidal spaces also called the TRP. The application of the method to 20 healthy human patients validates the hypothesis of the proposed approach and provides a first database for normal aqueduct CSF flow. Finally, the implications of our results for modeling and evaluating intracranial cerebral pressure are discussed.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('44','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_44\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6263280\" title=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6263280\" target=\"_blank\">http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6263280<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/6572\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/6572\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/6572\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/TBME.2012.2210716\" title=\"Follow DOI:10.1109\/TBME.2012.2210716\" target=\"_blank\">doi:10.1109\/TBME.2012.2210716<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('44','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Guibert, Romain;  Fonta, Caroline;  Risser, Laurent;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('47','tp_links')\" style=\"cursor:pointer;\">Coupling and robustness of intra-cortical vascular territories<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">NeuroImage, <\/span><span class=\"tp_pub_additional_volume\">vol. 62, <\/span><span class=\"tp_pub_additional_number\">no. 1, <\/span><span class=\"tp_pub_additional_pages\">pp. 408\u2013417, <\/span><span class=\"tp_pub_additional_year\">2012<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_47\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('47','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_47\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('47','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_47\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('47','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_47\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1016\/j.neuroimage.2012.04.030\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('47','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_47\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao6021,<br \/>\r\ntitle = {Coupling and robustness of intra-cortical vascular territories},<br \/>\r\nauthor = {Romain Guibert and Caroline Fonta and Laurent Risser and Franck Plourabou\u00e9},<br \/>\r\nurl = {http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811912004260<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/6021\/},<br \/>\r\ndoi = {10.1016\/j.neuroimage.2012.04.030},<br \/>\r\nyear  = {2012},<br \/>\r\ndate = {2012-08-01},<br \/>\r\nurldate = {2012-08-01},<br \/>\r\njournal = {NeuroImage},<br \/>\r\nvolume = {62},<br \/>\r\nnumber = {1},<br \/>\r\npages = {408--417},<br \/>\r\npublisher = {Elsevier},<br \/>\r\nabstract = {Vascular domains have been described as being coupled to neuronal functional units enabling dynamic blood supply to the cerebral cyto-architecture. Recent experiments have shown that penetrating arterioles of the grey matter are the building blocks for such units. Nevertheless, vascular territories are still poorly known, as the collection and analysis of large three-dimensional micro-vascular networks are difficult. By using an exhaustive reconstruction of the micro-vascular network in an 18 mm 3 volume of marmoset cerebral cortex, we numerically computed the blood flow in each blood vessel. We thus defined arterial and venular territories and examined their overlap. A large part of the intracortical vascular network was found to be supplied by several arteries and drained by several venules. We quantified this multiple potential to compensate for deficiencies by introducing a new robustness parameter. Robustness proved to be positively correlated with cortical depth and a systematic investigation of coupling maps indicated local patterns of overlap between neighbouring arteries and neighbouring venules. However, arterio-venular coupling did not have a spatial pattern of overlap but showed locally preferential functional coupling, especially of one artery with two venules, supporting the notion of vascular units. We concluded that intra-cortical perfusion in the primate was characterised by both very narrow functional beds and a large capacity for compensatory redistribution, far beyond the nearest neighbour collaterals.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('47','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_47\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Vascular domains have been described as being coupled to neuronal functional units enabling dynamic blood supply to the cerebral cyto-architecture. Recent experiments have shown that penetrating arterioles of the grey matter are the building blocks for such units. Nevertheless, vascular territories are still poorly known, as the collection and analysis of large three-dimensional micro-vascular networks are difficult. By using an exhaustive reconstruction of the micro-vascular network in an 18 mm 3 volume of marmoset cerebral cortex, we numerically computed the blood flow in each blood vessel. We thus defined arterial and venular territories and examined their overlap. A large part of the intracortical vascular network was found to be supplied by several arteries and drained by several venules. We quantified this multiple potential to compensate for deficiencies by introducing a new robustness parameter. Robustness proved to be positively correlated with cortical depth and a systematic investigation of coupling maps indicated local patterns of overlap between neighbouring arteries and neighbouring venules. However, arterio-venular coupling did not have a spatial pattern of overlap but showed locally preferential functional coupling, especially of one artery with two venules, supporting the notion of vascular units. We concluded that intra-cortical perfusion in the primate was characterised by both very narrow functional beds and a large capacity for compensatory redistribution, far beyond the nearest neighbour collaterals.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('47','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_47\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811912004260\" title=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811912004260\" target=\"_blank\">http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811912004260<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/6021\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/6021\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/6021\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.neuroimage.2012.04.030\" title=\"Follow DOI:10.1016\/j.neuroimage.2012.04.030\" target=\"_blank\">doi:10.1016\/j.neuroimage.2012.04.030<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('47','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Descombes, Xavier;  Plourabou\u00e9, Franck;  Boustani, Abdelhakim El;  Fonta, Caroline;  Duc, G\u00e9raldine Le;  Serduc, Raphael;  Weitkamp, Timm<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('48','tp_links')\" style=\"cursor:pointer;\">Vascular network segmentation: an unsupervised approach<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">9th IEEE International Symposium on Biomedical Imaging 2012 &#8211; ISBI, <\/span><span class=\"tp_pub_additional_pages\">pp. 1248\u20131251, <\/span><span class=\"tp_pub_additional_address\">Barcelona, ES, <\/span><span class=\"tp_pub_additional_year\">2012<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_48\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('48','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_48\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('48','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_48\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('48','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_48\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1109\/ISBI.2012.6235788\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('48','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_48\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{oatao9193,<br \/>\r\ntitle = {Vascular network segmentation: an unsupervised approach},<br \/>\r\nauthor = {Xavier Descombes and Franck Plourabou\u00e9 and Abdelhakim El Boustani and Caroline Fonta and G\u00e9raldine Le Duc and Raphael Serduc and Timm Weitkamp},<br \/>\r\nurl = {https:\/\/oatao.univ-toulouse.fr\/9193\/},<br \/>\r\ndoi = {10.1109\/ISBI.2012.6235788},<br \/>\r\nyear  = {2012},<br \/>\r\ndate = {2012-01-01},<br \/>\r\nurldate = {2012-01-01},<br \/>\r\nbooktitle = {9th IEEE International Symposium on Biomedical Imaging 2012 - ISBI},<br \/>\r\npages = {1248--1251},<br \/>\r\naddress = {Barcelona, ES},<br \/>\r\nabstract = {Micro-tomography produces high resolution images of biological structures such as vascular networks. In this paper, we present a new approach for segmenting vascular network into pathological and normal regions from considering their micro-vessel 3D structure only. We consider a partition of the volume obtained by a watershed algorithm based on the distance from the nearest vessel. Each territory is characterized by its volume and the local vascular density. The volume and density maps are first regularized by minimizing the total variation. Then, a new approach is proposed to segment the volume from the two previous restored images based on hypothesis testing. Results are presented on 3D micro-tomographic images of the brain micro-vascular network.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('48','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_48\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Micro-tomography produces high resolution images of biological structures such as vascular networks. In this paper, we present a new approach for segmenting vascular network into pathological and normal regions from considering their micro-vessel 3D structure only. We consider a partition of the volume obtained by a watershed algorithm based on the distance from the nearest vessel. Each territory is characterized by its volume and the local vascular density. The volume and density maps are first regularized by minimizing the total variation. Then, a new approach is proposed to segment the volume from the two previous restored images based on hypothesis testing. Results are presented on 3D micro-tomographic images of the brain micro-vascular network.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('48','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_48\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/9193\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/9193\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/9193\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/ISBI.2012.6235788\" title=\"Follow DOI:10.1109\/ISBI.2012.6235788\" target=\"_blank\">doi:10.1109\/ISBI.2012.6235788<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('48','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2011\">2011<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Guibert, Romain;  Fonta, Caroline;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('52','tp_links')\" style=\"cursor:pointer;\">From cerebral blood flow modeling to vascular units map in primate cortex<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">EUROMECH Colloquium 521 &#8211; Biomedical Flows at Low Reynolds Numbers, <\/span><span class=\"tp_pub_additional_address\">Zurich, CH, <\/span><span class=\"tp_pub_additional_year\">2011<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_52\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('52','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_52\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('52','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_52\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('52','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_52\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{oatao10542,<br \/>\r\ntitle = {From cerebral blood flow modeling to vascular units map in primate cortex},<br \/>\r\nauthor = {Romain Guibert and Caroline Fonta and Franck Plourabou\u00e9},<br \/>\r\nurl = {http:\/\/e-collection.library.ethz.ch\/eserv\/eth:3019\/eth-3019-01.pdf<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/10542\/},<br \/>\r\nyear  = {2011},<br \/>\r\ndate = {2011-01-01},<br \/>\r\nurldate = {2011-01-01},<br \/>\r\nbooktitle = {EUROMECH Colloquium 521 - Biomedical Flows at Low Reynolds Numbers},<br \/>\r\naddress = {Zurich, CH},<br \/>\r\nabstract = {The amazing topological and geometrical complexity of micro-vascular networks in the brain, and in other organs, has challenged many researchers for decades. Since the brain's vascular system is structured by a highly reticulated pial surface network which plunges down into a set of penetrating vessels, it is tempting to attribute a vascular unit to each penetrating arteriole. Recent experimental analysis have led to a breakthrough on the properties of the blood supply in the brain. Penetrating arterioles have been identified as the bottleneck of brain perfusion. Furthermore, it has also been realized that targeted clots of penetrating arterioles are not compensated by active changes in the diameter of their neighbor arteries. This observation suggests passive compensatory mechanisms resulting from the couplings between arteriolar territories consistent with other recent observations of active blood flow reorganization via collateral vessels (inter-arterial connections). A systematic investigation of the three-dimensional extent of compensation is not possible with experimental measurements but in silico simulations permit a systematic investigation of the spatial distribution of the brain perfusion.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('52','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_52\" style=\"display:none;\"><div class=\"tp_abstract_entry\">The amazing topological and geometrical complexity of micro-vascular networks in the brain, and in other organs, has challenged many researchers for decades. Since the brain&#8217;s vascular system is structured by a highly reticulated pial surface network which plunges down into a set of penetrating vessels, it is tempting to attribute a vascular unit to each penetrating arteriole. Recent experimental analysis have led to a breakthrough on the properties of the blood supply in the brain. Penetrating arterioles have been identified as the bottleneck of brain perfusion. Furthermore, it has also been realized that targeted clots of penetrating arterioles are not compensated by active changes in the diameter of their neighbor arteries. This observation suggests passive compensatory mechanisms resulting from the couplings between arteriolar territories consistent with other recent observations of active blood flow reorganization via collateral vessels (inter-arterial connections). A systematic investigation of the three-dimensional extent of compensation is not possible with experimental measurements but in silico simulations permit a systematic investigation of the spatial distribution of the brain perfusion.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('52','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_52\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/e-collection.library.ethz.ch\/eserv\/eth:3019\/eth-3019-01.pdf\" title=\"http:\/\/e-collection.library.ethz.ch\/eserv\/eth:3019\/eth-3019-01.pdf\" target=\"_blank\">http:\/\/e-collection.library.ethz.ch\/eserv\/eth:3019\/eth-3019-01.pdf<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/10542\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/10542\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/10542\/<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('52','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Descombes, Xavier;  Plourabou\u00e9, Franck;  Boustani, Abdelhakim El;  Fonta, Caroline;  Leduc, G\u00e9raldine;  Serduc, Raphael;  Weitkamp, Timm<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('51','tp_links')\" style=\"cursor:pointer;\">Brain Tumor Vascular Network Segmentation from Micro-Tomography<\/a> <span class=\"tp_pub_type tp_  inproceedings\">Proceedings Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">2011 IEEE International Symposium on Biomedical Imaging, <\/span><span class=\"tp_pub_additional_pages\">pp. 1113\u20131116, <\/span><span class=\"tp_pub_additional_address\">Chicago, USA, <\/span><span class=\"tp_pub_additional_year\">2011<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_51\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('51','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_51\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('51','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_51\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('51','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_51\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1109\/ISBI.2011.5872596\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('51','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_51\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{oatao5015,<br \/>\r\ntitle = {Brain Tumor Vascular Network Segmentation from Micro-Tomography},<br \/>\r\nauthor = {Xavier Descombes and Franck Plourabou\u00e9 and Abdelhakim El Boustani and Caroline Fonta and G\u00e9raldine Leduc and Raphael Serduc and Timm Weitkamp},<br \/>\r\nurl = {https:\/\/oatao.univ-toulouse.fr\/5015\/},<br \/>\r\ndoi = {10.1109\/ISBI.2011.5872596},<br \/>\r\nyear  = {2011},<br \/>\r\ndate = {2011-01-01},<br \/>\r\nurldate = {2011-01-01},<br \/>\r\nbooktitle = {2011 IEEE International Symposium on Biomedical Imaging},<br \/>\r\npages = {1113--1116},<br \/>\r\naddress = {Chicago, USA},<br \/>\r\nabstract = {Micro-tomography produces high resolution images of bio- logical structures such as vascular networks. In this paper, we present a new approach for segmenting vascular network into pathological and normal regions from considering their micro-vessel 3D structure only. We de?ne and use a condi- tional random ?eld for segmenting the output of a watershed algorithm. The tumoral and normal classes are thus character- ized by their respective distribution of watershed region size interpreted as local vascular territories.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('51','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_51\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Micro-tomography produces high resolution images of bio- logical structures such as vascular networks. In this paper, we present a new approach for segmenting vascular network into pathological and normal regions from considering their micro-vessel 3D structure only. We de?ne and use a condi- tional random ?eld for segmenting the output of a watershed algorithm. The tumoral and normal classes are thus character- ized by their respective distribution of watershed region size interpreted as local vascular territories.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('51','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_51\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/5015\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/5015\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/5015\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/ISBI.2011.5872596\" title=\"Follow DOI:10.1109\/ISBI.2011.5872596\" target=\"_blank\">doi:10.1109\/ISBI.2011.5872596<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('51','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2010\">2010<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Guibert, Romain;  Fonta, Caroline;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('55','tp_links')\" style=\"cursor:pointer;\">Cerebral blood flow modeling in primate cortex<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Cerebral Blood Flow &amp; Metabolism, <\/span><span class=\"tp_pub_additional_volume\">vol. 30, <\/span><span class=\"tp_pub_additional_number\">no. 11, <\/span><span class=\"tp_pub_additional_pages\">pp. 1860\u20131873, <\/span><span class=\"tp_pub_additional_year\">2010<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_55\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('55','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_55\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('55','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_55\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('55','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_55\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1038\/jcbfm.2010.105\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('55','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_55\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao5466,<br \/>\r\ntitle = {Cerebral blood flow modeling in primate cortex},<br \/>\r\nauthor = {Romain Guibert and Caroline Fonta and Franck Plourabou\u00e9},<br \/>\r\nurl = {http:\/\/www.nature.com\/jcbfm\/journal\/v30\/n11\/full\/jcbfm2010105a.html<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/5466\/},<br \/>\r\ndoi = {10.1038\/jcbfm.2010.105},<br \/>\r\nyear  = {2010},<br \/>\r\ndate = {2010-07-01},<br \/>\r\nurldate = {2010-07-01},<br \/>\r\njournal = {Journal of Cerebral Blood Flow & Metabolism},<br \/>\r\nvolume = {30},<br \/>\r\nnumber = {11},<br \/>\r\npages = {1860--1873},<br \/>\r\npublisher = {Nature Publishing Group},<br \/>\r\nabstract = {We report new results on blood flow modeling over large volumes of cortical gray matter of primate brain. We propose a network method for computing the blood flow, which handles realistic boundary conditions, complex vessel shapes, and complex nonlinear blood rheology. From a detailed comparison of the available models for the blood flow rheology and the phase separation effect, we are able to derive important new results on the impact of network structure on blood pressure, hematocrit, and flow distributions. Our findings show that the network geometry (vessel shapes and diameters), the boundary conditions associated with the arterial inputs and venous outputs, and the effective viscosity of the blood are essential components in the flow distribution. In contrast, we show that the phase separation effect has a minor function in the global microvascular hemodynamic behavior. The behavior of the pressure, hematocrit, and blood flow distributions within the network are described through the depth of the primate cerebral cortex and are discussed.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('55','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_55\" style=\"display:none;\"><div class=\"tp_abstract_entry\">We report new results on blood flow modeling over large volumes of cortical gray matter of primate brain. We propose a network method for computing the blood flow, which handles realistic boundary conditions, complex vessel shapes, and complex nonlinear blood rheology. From a detailed comparison of the available models for the blood flow rheology and the phase separation effect, we are able to derive important new results on the impact of network structure on blood pressure, hematocrit, and flow distributions. Our findings show that the network geometry (vessel shapes and diameters), the boundary conditions associated with the arterial inputs and venous outputs, and the effective viscosity of the blood are essential components in the flow distribution. In contrast, we show that the phase separation effect has a minor function in the global microvascular hemodynamic behavior. The behavior of the pressure, hematocrit, and blood flow distributions within the network are described through the depth of the primate cerebral cortex and are discussed.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('55','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_55\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.nature.com\/jcbfm\/journal\/v30\/n11\/full\/jcbfm2010105a.html\" title=\"http:\/\/www.nature.com\/jcbfm\/journal\/v30\/n11\/full\/jcbfm2010105a.html\" target=\"_blank\">http:\/\/www.nature.com\/jcbfm\/journal\/v30\/n11\/full\/jcbfm2010105a.html<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/5466\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/5466\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/5466\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1038\/jcbfm.2010.105\" title=\"Follow DOI:10.1038\/jcbfm.2010.105\" target=\"_blank\">doi:10.1038\/jcbfm.2010.105<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('55','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Guibert, Romain;  Fonta, Caroline;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('58','tp_links')\" style=\"cursor:pointer;\">A New Approach to Model Confined Suspensions Flows in Complex Networks: Application to Blood Flow<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Transport in Porous Media, <\/span><span class=\"tp_pub_additional_volume\">vol. 83, <\/span><span class=\"tp_pub_additional_number\">no. 1, <\/span><span class=\"tp_pub_additional_pages\">pp. 171\u2013194, <\/span><span class=\"tp_pub_additional_year\">2010<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_58\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('58','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_58\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('58','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_58\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('58','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_58\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1007\/s11242-009-9492-0\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('58','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_58\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao5459,<br \/>\r\ntitle = {A New Approach to Model Confined Suspensions Flows in Complex Networks: Application to Blood Flow},<br \/>\r\nauthor = {Romain Guibert and Caroline Fonta and Franck Plourabou\u00e9},<br \/>\r\nurl = {http:\/\/www.springerlink.com\/content\/kj72721r5783638w\/?MUD=MP<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/5459\/},<br \/>\r\ndoi = {10.1007\/s11242-009-9492-0},<br \/>\r\nyear  = {2010},<br \/>\r\ndate = {2010-01-01},<br \/>\r\nurldate = {2010-01-01},<br \/>\r\njournal = {Transport in Porous Media},<br \/>\r\nvolume = {83},<br \/>\r\nnumber = {1},<br \/>\r\npages = {171--194},<br \/>\r\npublisher = {Springer},<br \/>\r\nabstract = {The modeling of blood flows confined in micro-channels or micro-capillary beds depends on the interactions between the cell-phase, plasma and the complex geometry of the network. In the case of capillaries or channels having a high aspect ratio (their longitudinal size is much larger than their transverse one), this modeling is much simplified from the use of a continuous description of fluid viscosity as previously proposed in the literature. Phase separation or plasma skimming effect is a supplementary mechanism responsible for the relative distribution of the red blood cell's volume density in each branch of a given bifurcation. Different models have already been proposed to connect this effect to the various hydrodynamics and geometrical parameters at each bifurcation. We discuss the advantages and drawbacks of these models and compare them to an alternative approach for modeling phase distribution in complex channels networks. The main novelty of this new formulation is to show that albeit all the previous approaches seek for a local origin of the phase segregation phenomenon, it can arise from a global non-local and nonlinear structuration of the flow inside the network. This new approach describes how elementary conservation laws are sufficient principles (rather than the complex arametric models previously proposed) to provide non local phase separation. Spatial variations of the hematocrit field thus result from the topological complexity of the network as well as nonlinearities arising from solving a new free boundary problem associated with the ?ux and mass conservation. This network model approach could apply to model blood flow distribution either on arti?cial micro-models, micro-fluidic networks, or realistic reconstruction of biological micro-vascular networks.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('58','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_58\" style=\"display:none;\"><div class=\"tp_abstract_entry\">The modeling of blood flows confined in micro-channels or micro-capillary beds depends on the interactions between the cell-phase, plasma and the complex geometry of the network. In the case of capillaries or channels having a high aspect ratio (their longitudinal size is much larger than their transverse one), this modeling is much simplified from the use of a continuous description of fluid viscosity as previously proposed in the literature. Phase separation or plasma skimming effect is a supplementary mechanism responsible for the relative distribution of the red blood cell&#8217;s volume density in each branch of a given bifurcation. Different models have already been proposed to connect this effect to the various hydrodynamics and geometrical parameters at each bifurcation. We discuss the advantages and drawbacks of these models and compare them to an alternative approach for modeling phase distribution in complex channels networks. The main novelty of this new formulation is to show that albeit all the previous approaches seek for a local origin of the phase segregation phenomenon, it can arise from a global non-local and nonlinear structuration of the flow inside the network. This new approach describes how elementary conservation laws are sufficient principles (rather than the complex arametric models previously proposed) to provide non local phase separation. Spatial variations of the hematocrit field thus result from the topological complexity of the network as well as nonlinearities arising from solving a new free boundary problem associated with the ?ux and mass conservation. This network model approach could apply to model blood flow distribution either on arti?cial micro-models, micro-fluidic networks, or realistic reconstruction of biological micro-vascular networks.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('58','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_58\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.springerlink.com\/content\/kj72721r5783638w\/?MUD=MP\" title=\"http:\/\/www.springerlink.com\/content\/kj72721r5783638w\/?MUD=MP\" target=\"_blank\">http:\/\/www.springerlink.com\/content\/kj72721r5783638w\/?MUD=MP<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/5459\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/5459\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/5459\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1007\/s11242-009-9492-0\" title=\"Follow DOI:10.1007\/s11242-009-9492-0\" target=\"_blank\">doi:10.1007\/s11242-009-9492-0<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('58','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2009\">2009<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Guibert, Romain;  Fonta, Caroline;  Plourabou\u00e9, Franck<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('59','tp_links')\" style=\"cursor:pointer;\">Le r\u00e9seau micro-vasculaire structure la distribution de la pression sanguine<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">M\u00e9canique &amp; Industries, <\/span><span class=\"tp_pub_additional_volume\">vol. 10, <\/span><span class=\"tp_pub_additional_number\">no. 3-4, <\/span><span class=\"tp_pub_additional_pages\">pp. 255\u2013260, <\/span><span class=\"tp_pub_additional_year\">2009<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_59\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('59','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_59\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('59','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_59\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('59','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_59\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1051\/meca\/2009061\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('59','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_59\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao9192,<br \/>\r\ntitle = {Le r\u00e9seau micro-vasculaire structure la distribution de la pression sanguine},<br \/>\r\nauthor = {Romain Guibert and Caroline Fonta and Franck Plourabou\u00e9},<br \/>\r\nurl = {https:\/\/www.mechanics-industry.org\/articles\/meca\/pdf\/2009\/03\/mi0021-2009.pdf<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/9192\/},<br \/>\r\ndoi = {10.1051\/meca\/2009061},<br \/>\r\nyear  = {2009},<br \/>\r\ndate = {2009-05-01},<br \/>\r\nurldate = {2009-05-01},<br \/>\r\njournal = {M\u00e9canique & Industries},<br \/>\r\nvolume = {10},<br \/>\r\nnumber = {3-4},<br \/>\r\npages = {255--260},<br \/>\r\npublisher = {EDP Sciences},<br \/>\r\nabstract = {Cerebral micro-vascular networks control the blood pressure distribution when considering in vitro blood rheology models. Blood rheology is complex and non-linear. In small vessels, the effective viscosity variations are important due to red blood cells packing in capillaries, the so-called Frahr\u00e6us-Lindquist effect, whilst concomitantly phase segregation appears in bifurcations. Direct numerical simulations of different non-linear rheological models of the blood are performed on realistic three-dimensional micro-vascular networks. These simulations exhibit two significant results. First, various rheological models lead to very similar pressure distribution over the whole range of physiologically relevant hematocrits. Secondly, different models for phase segregation lead to very distinct hematocrit distributions in the micro-vacular network. Nevertheless, the hematocrit distribution very weakly affects the pressure distribution. Hence, our results suggest that the micro-vacular network structure mainly controls the pressure distribution in micro-circulation, whilst the effect of hematocrit distribution is weak.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('59','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_59\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Cerebral micro-vascular networks control the blood pressure distribution when considering in vitro blood rheology models. Blood rheology is complex and non-linear. In small vessels, the effective viscosity variations are important due to red blood cells packing in capillaries, the so-called Frahr\u00e6us-Lindquist effect, whilst concomitantly phase segregation appears in bifurcations. Direct numerical simulations of different non-linear rheological models of the blood are performed on realistic three-dimensional micro-vascular networks. These simulations exhibit two significant results. First, various rheological models lead to very similar pressure distribution over the whole range of physiologically relevant hematocrits. Secondly, different models for phase segregation lead to very distinct hematocrit distributions in the micro-vacular network. Nevertheless, the hematocrit distribution very weakly affects the pressure distribution. Hence, our results suggest that the micro-vacular network structure mainly controls the pressure distribution in micro-circulation, whilst the effect of hematocrit distribution is weak.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('59','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_59\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.mechanics-industry.org\/articles\/meca\/pdf\/2009\/03\/mi0021-2009.pdf\" title=\"https:\/\/www.mechanics-industry.org\/articles\/meca\/pdf\/2009\/03\/mi0021-2009.pdf\" target=\"_blank\">https:\/\/www.mechanics-industry.org\/articles\/meca\/pdf\/2009\/03\/mi0021-2009.pdf<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/9192\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/9192\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/9192\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1051\/meca\/2009061\" title=\"Follow DOI:10.1051\/meca\/2009061\" target=\"_blank\">doi:10.1051\/meca\/2009061<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('59','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Risser, Laurent;  Plourabou\u00e9, Franck;  Cloetens, Peter;  Fonta, Caroline<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('60','tp_links')\" style=\"cursor:pointer;\">A 3D-investigation shows that angiogenesis in primate cerebral cortex mainly occurs at capillary level<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">International Journal of Developmental Neuroscience, <\/span><span class=\"tp_pub_additional_volume\">vol. 27, <\/span><span class=\"tp_pub_additional_number\">no. 2, <\/span><span class=\"tp_pub_additional_pages\">pp. 185\u2013196, <\/span><span class=\"tp_pub_additional_year\">2009<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_60\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('60','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_60\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('60','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_60\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('60','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_60\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1016\/j.ijdevneu.2008.10.006\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('60','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_60\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao5464,<br \/>\r\ntitle = {A 3D-investigation shows that angiogenesis in primate cerebral cortex mainly occurs at capillary level},<br \/>\r\nauthor = {Laurent Risser and Franck Plourabou\u00e9 and Peter Cloetens and Caroline Fonta},<br \/>\r\nurl = {http:\/\/www.sciencedirect.com\/science\/journal\/07365748<br \/>\r\nhttps:\/\/oatao.univ-toulouse.fr\/5464\/},<br \/>\r\ndoi = {10.1016\/j.ijdevneu.2008.10.006},<br \/>\r\nyear  = {2009},<br \/>\r\ndate = {2009-04-01},<br \/>\r\nurldate = {2009-04-01},<br \/>\r\njournal = {International Journal of Developmental Neuroscience},<br \/>\r\nvolume = {27},<br \/>\r\nnumber = {2},<br \/>\r\npages = {185--196},<br \/>\r\npublisher = {Elsevier},<br \/>\r\nabstract = {This paper describes the use of a new 3D high-resolution imaging technique dedicated to functional vessels for a systematic quantitative study of angiogenesis in the primate cortex. We present a new method which permits, using synchrotron X-ray micro-tomography imaging, the identi?cation of micro-vascular components as well as their automatic numerical digitalization and extraction from very large 3D image analysis and post-treatments. This method is used to analyze various levels of micro-vascular <br \/>\r\norganization and their postnatal modi?cations. Comparing newborn- and adult marmosets, we found an increase in vascular volume (270%), exchange surface (260%) and vessel length (290%) associated to a decrease in distances between vessel and tissue (32%). The increase in relative vascular volumes between the two ages, examined through the whole cortical depth, has been found to be mainly sustained by <br \/>\r\nevents occurring at the capillary level, and only marginally at the perforating vessel level. This work <br \/>\r\nshows that the postnatal cortical maturation classically described in terms of synaptogenesis, gliogenesis and connectivity plasticity is accompanied by an intensive remodeling of micro-vascular patterns.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('60','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_60\" style=\"display:none;\"><div class=\"tp_abstract_entry\">This paper describes the use of a new 3D high-resolution imaging technique dedicated to functional vessels for a systematic quantitative study of angiogenesis in the primate cortex. We present a new method which permits, using synchrotron X-ray micro-tomography imaging, the identi?cation of micro-vascular components as well as their automatic numerical digitalization and extraction from very large 3D image analysis and post-treatments. This method is used to analyze various levels of micro-vascular <br \/>\r\norganization and their postnatal modi?cations. Comparing newborn- and adult marmosets, we found an increase in vascular volume (270%), exchange surface (260%) and vessel length (290%) associated to a decrease in distances between vessel and tissue (32%). The increase in relative vascular volumes between the two ages, examined through the whole cortical depth, has been found to be mainly sustained by <br \/>\r\nevents occurring at the capillary level, and only marginally at the perforating vessel level. This work <br \/>\r\nshows that the postnatal cortical maturation classically described in terms of synaptogenesis, gliogenesis and connectivity plasticity is accompanied by an intensive remodeling of micro-vascular patterns.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('60','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_60\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.sciencedirect.com\/science\/journal\/07365748\" title=\"http:\/\/www.sciencedirect.com\/science\/journal\/07365748\" target=\"_blank\">http:\/\/www.sciencedirect.com\/science\/journal\/07365748<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/5464\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/5464\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/5464\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.ijdevneu.2008.10.006\" title=\"Follow DOI:10.1016\/j.ijdevneu.2008.10.006\" target=\"_blank\">doi:10.1016\/j.ijdevneu.2008.10.006<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('60','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2008\">2008<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Risser, Laurent;  Plourabou\u00e9, Franck;  Descombes, Xavier<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('64','tp_links')\" style=\"cursor:pointer;\">Gap Filling of 3-D Microvascular Networks by Tensor Voting<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">IEEE Transactions on Medical Imaging, <\/span><span class=\"tp_pub_additional_volume\">vol. 27, <\/span><span class=\"tp_pub_additional_number\">no. 5, <\/span><span class=\"tp_pub_additional_pages\">pp. 674\u2013687, <\/span><span class=\"tp_pub_additional_year\">2008<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_64\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('64','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_64\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('64','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_64\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('64','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_64\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1109\/TMI.2007.913248\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('64','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_64\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao5469,<br \/>\r\ntitle = {Gap Filling of 3-D Microvascular Networks by Tensor Voting},<br \/>\r\nauthor = {Laurent Risser and Franck Plourabou\u00e9 and Xavier Descombes},<br \/>\r\nurl = {https:\/\/oatao.univ-toulouse.fr\/5469\/<br \/>\r\nhttps:\/\/ieeexplore.ieee.org\/document\/4389807},<br \/>\r\ndoi = {10.1109\/TMI.2007.913248},<br \/>\r\nyear  = {2008},<br \/>\r\ndate = {2008-01-01},<br \/>\r\nurldate = {2008-01-01},<br \/>\r\njournal = {IEEE Transactions on Medical Imaging},<br \/>\r\nvolume = {27},<br \/>\r\nnumber = {5},<br \/>\r\npages = {674--687},<br \/>\r\npublisher = {Institute of Electrical and Electronics Engineers},<br \/>\r\nabstract = {We present a new algorithm which merges discontinuities in 3-D images of tubular structures presenting undesirable gaps. The application of the proposed method is mainly associated to large 3-D images of microvascular networks. In order to recover the real network topology, we need to fill the gaps between the closest discontinuous vessels. The algorithm presented in this paper aims at achieving this goal. This algorithm is based on the skeletonization of the segmented network followed by a tensor voting method. It permits to merge the most common kinds of discontinuities found in microvascular networks. It is robust, easy to use, and relatively fast. The microvascular network images were obtained using synchrotron tomography imaging at the European Synchrotron Radiation Facility. These images exhibit samples of intracortical networks. Representative results are illustrated.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('64','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_64\" style=\"display:none;\"><div class=\"tp_abstract_entry\">We present a new algorithm which merges discontinuities in 3-D images of tubular structures presenting undesirable gaps. The application of the proposed method is mainly associated to large 3-D images of microvascular networks. In order to recover the real network topology, we need to fill the gaps between the closest discontinuous vessels. The algorithm presented in this paper aims at achieving this goal. This algorithm is based on the skeletonization of the segmented network followed by a tensor voting method. It permits to merge the most common kinds of discontinuities found in microvascular networks. It is robust, easy to use, and relatively fast. The microvascular network images were obtained using synchrotron tomography imaging at the European Synchrotron Radiation Facility. These images exhibit samples of intracortical networks. Representative results are illustrated.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('64','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_64\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/5469\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/5469\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/5469\/<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/ieeexplore.ieee.org\/document\/4389807\" title=\"https:\/\/ieeexplore.ieee.org\/document\/4389807\" target=\"_blank\">https:\/\/ieeexplore.ieee.org\/document\/4389807<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/TMI.2007.913248\" title=\"Follow DOI:10.1109\/TMI.2007.913248\" target=\"_blank\">doi:10.1109\/TMI.2007.913248<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('64','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2006\">2006<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Risser, Laurent;  Plourabou\u00e9, Franck;  Steyer, Alexandre;  Cloetens, Peter;  Duc, G\u00e9raldine Le;  Fonta, Caroline<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('70','tp_links')\" style=\"cursor:pointer;\">From homogeneous to fractal normal and tumorous microvascular networks in the brain<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Cerebral Blood Flow and Metabolism, <\/span><span class=\"tp_pub_additional_volume\">vol. 27, <\/span><span class=\"tp_pub_additional_number\">no. 2, <\/span><span class=\"tp_pub_additional_pages\">pp. 293\u2013303, <\/span><span class=\"tp_pub_additional_year\">2006<\/span><span class=\"tp_pub_additional_note\">, (Thanks to Nature Publishing group. This article is available at http:\/\/www.nature.com\/jcbfm\/index.html)<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_70\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('70','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_70\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('70','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_70\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('70','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_70\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1038\/sj.jcbfm.9600332\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('70','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_70\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao5477,<br \/>\r\ntitle = {From homogeneous to fractal normal and tumorous microvascular networks in the brain},<br \/>\r\nauthor = {Laurent Risser and Franck Plourabou\u00e9 and Alexandre Steyer and Peter Cloetens and G\u00e9raldine Le Duc and Caroline Fonta},<br \/>\r\nurl = {https:\/\/oatao.univ-toulouse.fr\/5477\/},<br \/>\r\ndoi = {10.1038\/sj.jcbfm.9600332},<br \/>\r\nyear  = {2006},<br \/>\r\ndate = {2006-01-01},<br \/>\r\njournal = {Journal of Cerebral Blood Flow and Metabolism},<br \/>\r\nvolume = {27},<br \/>\r\nnumber = {2},<br \/>\r\npages = {293--303},<br \/>\r\npublisher = {Nature Publishing Group},<br \/>\r\nabstract = {We studied normal and tumorous three-dimensional (3D) microvascular networks in primate and rat brain. Tissues were prepared following a new preparation technique intended for high-resolution synchrotron tomography of microvascular networks. The resulting 3D images with a spatial resolution of less than the minimum capillary diameter permit a complete description of the entire vascular network for volumes as large as tens of cubic millimeters. The structural properties of the vascular networks were investigated by several multiscale methods such as fractal and power-spectrum analysis. These investigations gave a new coherent picture of normal and pathological complex vascular structures. They showed that normal cortical vascular networks have scale-invariant fractal properties on a small scale from 1.4 lm up to 40 to 65 lm. Above this threshold, vascular networks can be considered as homogeneous. Tumor vascular networks show similar characteristics, but the validity range of the fractal regime extend to much larger spatial dimensions. <br \/>\r\nThese 3D results shed new light on previous two dimensional analyses giving for the first time a <br \/>\r\ndirect measurement of vascular modules associated with vessel-tissue surface exchange.},<br \/>\r\nnote = {Thanks to Nature Publishing group. This article is available at http:\/\/www.nature.com\/jcbfm\/index.html},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('70','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_70\" style=\"display:none;\"><div class=\"tp_abstract_entry\">We studied normal and tumorous three-dimensional (3D) microvascular networks in primate and rat brain. Tissues were prepared following a new preparation technique intended for high-resolution synchrotron tomography of microvascular networks. The resulting 3D images with a spatial resolution of less than the minimum capillary diameter permit a complete description of the entire vascular network for volumes as large as tens of cubic millimeters. The structural properties of the vascular networks were investigated by several multiscale methods such as fractal and power-spectrum analysis. These investigations gave a new coherent picture of normal and pathological complex vascular structures. They showed that normal cortical vascular networks have scale-invariant fractal properties on a small scale from 1.4 lm up to 40 to 65 lm. Above this threshold, vascular networks can be considered as homogeneous. Tumor vascular networks show similar characteristics, but the validity range of the fractal regime extend to much larger spatial dimensions. <br \/>\r\nThese 3D results shed new light on previous two dimensional analyses giving for the first time a <br \/>\r\ndirect measurement of vascular modules associated with vessel-tissue surface exchange.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('70','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_70\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/5477\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/5477\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/5477\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1038\/sj.jcbfm.9600332\" title=\"Follow DOI:10.1038\/sj.jcbfm.9600332\" target=\"_blank\">doi:10.1038\/sj.jcbfm.9600332<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('70','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2004\">2004<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\"> Plourabou\u00e9, Franck;  Cloetens, Peter;  Fonta, Caroline;  Steyer, Alexandre;  Lauwers, Fr\u00e9d\u00e9ric;  Marc-Vergnes, J. P<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('77','tp_links')\" style=\"cursor:pointer;\">X-ray high-resolution vascular network imaging<\/a> <span class=\"tp_pub_type tp_  article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Microscopy, <\/span><span class=\"tp_pub_additional_volume\">vol. 215, <\/span><span class=\"tp_pub_additional_number\">no. 2, <\/span><span class=\"tp_pub_additional_pages\">pp. 139\u2013148, <\/span><span class=\"tp_pub_additional_year\">2004<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_77\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('77','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_77\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('77','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_77\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('77','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span><\/p><div class=\"tp_altmetric\" id=\"tp_altmetric_77\" style=\"display:none;\"><div class=\"tp_altmetric_entry\"><div data-badge-details=\"right\" data-badge-type=\"large-donut\" data-doi=\"10.1111\/j.0022-2720.2004.01362.x\" data-condensed=\"true\" class=\"altmetric-embed\"><\/div><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('77','tp_altmetric')\">Close<\/a><\/p><\/div><div class=\"tp_bibtex\" id=\"tp_bibtex_77\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{oatao5483,<br \/>\r\ntitle = {X-ray high-resolution vascular network imaging},<br \/>\r\nauthor = {Franck Plourabou\u00e9 and Peter Cloetens and Caroline Fonta and Alexandre Steyer and Fr\u00e9d\u00e9ric Lauwers and J. P Marc-Vergnes},<br \/>\r\nurl = {https:\/\/oatao.univ-toulouse.fr\/5483\/},<br \/>\r\ndoi = {10.1111\/j.0022-2720.2004.01362.x},<br \/>\r\nyear  = {2004},<br \/>\r\ndate = {2004-08-01},<br \/>\r\nurldate = {2004-08-01},<br \/>\r\njournal = {Journal of Microscopy},<br \/>\r\nvolume = {215},<br \/>\r\nnumber = {2},<br \/>\r\npages = {139--148},<br \/>\r\npublisher = {Wiley},<br \/>\r\nabstract = {This paper presents the first application of high-resolution X-ray synchrotron tomography to the imaging of large micro-vascular networks in biological tissue samples. This technique offers the opportunity of analysing the full three-dimensional vascular network from the micrometre to the millimetre scale. <br \/>\r\nThis paper presents the specific sample preparation method and the X-ray imaging procedure. Either barium or iron was injected as contrast agent in the vascular network. The impact of the composition and concentration of the injected solution on the X-ray synchrotron tomography images has been studied. Two imaging modes, attenuation and phase contrast, are compared. Synchrotron high-resolution computed tomography offers new prospects in the three-dimensional imaging of in situ biological vascular networks.},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('77','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_77\" style=\"display:none;\"><div class=\"tp_abstract_entry\">This paper presents the first application of high-resolution X-ray synchrotron tomography to the imaging of large micro-vascular networks in biological tissue samples. This technique offers the opportunity of analysing the full three-dimensional vascular network from the micrometre to the millimetre scale. <br \/>\r\nThis paper presents the specific sample preparation method and the X-ray imaging procedure. Either barium or iron was injected as contrast agent in the vascular network. The impact of the composition and concentration of the injected solution on the X-ray synchrotron tomography images has been studied. Two imaging modes, attenuation and phase contrast, are compared. Synchrotron high-resolution computed tomography offers new prospects in the three-dimensional imaging of in situ biological vascular networks.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('77','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_77\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/oatao.univ-toulouse.fr\/5483\/\" title=\"https:\/\/oatao.univ-toulouse.fr\/5483\/\" target=\"_blank\">https:\/\/oatao.univ-toulouse.fr\/5483\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1111\/j.0022-2720.2004.01362.x\" title=\"Follow DOI:10.1111\/j.0022-2720.2004.01362.x\" target=\"_blank\">doi:10.1111\/j.0022-2720.2004.01362.x<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('77','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Networks play an important role in many engineering and applied problems such as water or gas transport in pipe networks, electric distributions, river basins, etc. They also represent a key concept in several biological contexts such as vascular networks, metabolic reaction networks, epidemiology, etc. In our group, we are mainly interested in networks for pipe &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/franckplouraboue.net\/?page_id=224\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Network analysis &#038; bio-imaging&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":19,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"class_list":["post-224","page","type-page","status-publish","has-post-thumbnail","hentry","entry"],"acf":[],"aioseo_notices":[],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/franckplouraboue.net\/index.php?rest_route=\/wp\/v2\/pages\/224","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/franckplouraboue.net\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/franckplouraboue.net\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/franckplouraboue.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/franckplouraboue.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=224"}],"version-history":[{"count":308,"href":"https:\/\/franckplouraboue.net\/index.php?rest_route=\/wp\/v2\/pages\/224\/revisions"}],"predecessor-version":[{"id":1591,"href":"https:\/\/franckplouraboue.net\/index.php?rest_route=\/wp\/v2\/pages\/224\/revisions\/1591"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/franckplouraboue.net\/index.php?rest_route=\/wp\/v2\/media\/19"}],"wp:attachment":[{"href":"https:\/\/franckplouraboue.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=224"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}