{"id":86,"date":"2021-03-26T14:17:06","date_gmt":"2021-03-26T13:17:06","guid":{"rendered":"https:\/\/project.inria.fr\/prespin\/?page_id=86"},"modified":"2021-12-02T16:32:48","modified_gmt":"2021-12-02T15:32:48","slug":"wp2-vessel-models-adapted-to-predictive-simulation","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/prespin\/work-packages\/wp2-vessel-models-adapted-to-predictive-simulation\/","title":{"rendered":"WP2:  Vessel models adapted to predictive simulation"},"content":{"rendered":"<p>Supported by <a href=\"https:\/\/project.inria.fr\/prespin\/work-packages\/wp1-vessel-segmentation-and-modeling\/\">WP1<\/a>, this WP will aim at building blood vessel models specifically targeted at more\u00a0efficient computations in simulations. Device simulation will rely on a Cosserat model, parametrized through mechanical tests and in vitro measurements (see <a href=\"https:\/\/project.inria.fr\/prespin\/work-packages\/wp4-data-management-and-experimental-validation\/\">WP4<\/a>). Local implicit\u00a0representations will be improved and used to compute an accurate and fast collision\u00a0response, including friction forces. Besides, a manifold of vascular tree topology and morphology variations will be learned on a cohort so as to identify correspondences\u00a0between a new patient vascular tree and one encoded in this manifold. This strategy will enable to perform the blood flow simulation only on local segments that are different in terms of topology and geometry and save a lot of computational time.<\/p>\n<p><strong>Persons involved in WP2:<\/strong><\/p>\n<table>\n<thead>\n<tr class=\"header\">\n<th>Partner<\/th>\n<th>Name<\/th>\n<th>Current position<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr class=\"odd\">\n<td><a href=\"https:\/\/www.loria.fr\">LORIA<\/a><\/td>\n<td>Pierre-Frederic Villard (<strong>head<\/strong>)<\/td>\n<td>Associate Professor<\/td>\n<\/tr>\n<tr class=\"even\">\n<td><a href=\"https:\/\/www.loria.fr\">LORIA<\/a><\/td>\n<td>Erwan Kerrien (<strong>main contributor<\/strong>)<\/td>\n<td>Researcher<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td><a href=\"https:\/\/www.loria.fr\">LORIA<\/a><\/td>\n<td>Radhouane Jilani (<strong>main contributor<\/strong>)<\/td>\n<td>PhD student<\/td>\n<\/tr>\n<tr class=\"even\">\n<td><a href=\"https:\/\/www.creatis.insa-lyon.fr\">CREATIS<\/a><\/td>\n<td>M\u00e9ghane Ducroocq (<strong>main contributor<\/strong>)<\/td>\n<td>PhD student<\/td>\n<\/tr>\n<tr class=\"odd\">\n<td><a href=\"https:\/\/www.creatis.insa-lyon.fr\">CREATIS<\/a><\/td>\n<td>Carole Frindel<\/td>\n<td>Associate Professor<\/td>\n<\/tr>\n<tr class=\"even\">\n<td><a href=\"https:\/\/www.creatis.insa-lyon.fr\">CREATIS<\/a><\/td>\n<td>Odyss\u00e9e Merveille<\/td>\n<td>Associate Professor<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Supported by WP1, this WP will aim at building blood vessel models specifically targeted at more\u00a0efficient computations in simulations. Device simulation will rely on a Cosserat model, parametrized through mechanical tests and in vitro measurements (see WP4). Local implicit\u00a0representations will be improved and used to compute an accurate and fast\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/prespin\/work-packages\/wp2-vessel-models-adapted-to-predictive-simulation\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":869,"featured_media":0,"parent":79,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-86","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/prespin\/wp-json\/wp\/v2\/pages\/86","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/prespin\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/prespin\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/prespin\/wp-json\/wp\/v2\/users\/869"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/prespin\/wp-json\/wp\/v2\/comments?post=86"}],"version-history":[{"count":8,"href":"https:\/\/project.inria.fr\/prespin\/wp-json\/wp\/v2\/pages\/86\/revisions"}],"predecessor-version":[{"id":165,"href":"https:\/\/project.inria.fr\/prespin\/wp-json\/wp\/v2\/pages\/86\/revisions\/165"}],"up":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/prespin\/wp-json\/wp\/v2\/pages\/79"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/prespin\/wp-json\/wp\/v2\/media?parent=86"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}