{"id":1018,"date":"2020-05-05T15:15:04","date_gmt":"2020-05-05T13:15:04","guid":{"rendered":"https:\/\/www.biomaps.universite-paris-saclay.fr\/?page_id=1018"},"modified":"2020-05-05T15:29:21","modified_gmt":"2020-05-05T13:29:21","slug":"conditionnement-de-lelastographie-par-resonance-magnetique","status":"publish","type":"page","link":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/conditionnement-de-lelastographie-par-resonance-magnetique\/","title":{"rendered":"Conditionnement de l\u2019\u00e9lastographie par r\u00e9sonance magn\u00e9tique"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"1018\" class=\"elementor elementor-1018\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ad314fe elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ad314fe\" 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-8ad5d28\" data-id=\"8ad5d28\" 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-0bc6c45 elementor-widget elementor-widget-text-editor\" data-id=\"0bc6c45\" 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<h3>Contexte Scientifique<\/h3>\n<p class=\"has-medium-font-size\"><strong>L\u2019\u00e9lastographie par r\u00e9sonance magn\u00e9tique<\/strong> (ERM) est une modalit\u00e9 d\u2019imagerie non-invasive qui avance une quantification absolue des propri\u00e9t\u00e9s m\u00e9caniques des tissus humains <em>in vivo<\/em>. La reconstruction en ERM par inversion alg\u00e9brique de l\u2019\u00e9quation d\u2019onde du champ de d\u00e9placement distorsionnel de cisaillement est th\u00e9oriquement exempte de toute erreur.\u00a0 N\u00e9anmoins, ses performances sont mises \u00e0 l\u2019\u00e9preuve par les multiples param\u00e8tres exp\u00e9rimentaux, en particulier la fr\u00e9quence et l\u2019amplitude de l\u2019onde m\u00e9canique, la taille du voxel et le rapport signal-\u00e0-bruit de l\u2019acquisition ERM.\n\n<p class=\"has-medium-font-size\">Les performances de la m\u00e9thode du champ de distorsion sont mises \u00e0 l\u2019\u00e9preuve par les multiples param\u00e8tres exp\u00e9rimentaux comme la fr\u00e9quence, <em>f<\/em>, et l\u2019amplitude, <em>q<\/em>, du rotationnel du champ de d\u00e9placement (le champ de distorsion) de l\u2019onde m\u00e9canique ainsi que la taille des voxels, <em>a<\/em>, et le rapport signal-\u00e0-bruit, RSB, de l\u2019acquisition ERM. Ces param\u00e8tres agissent conjointement sur la qualit\u00e9 de la reconstruction, c\u2019est-\u00e0-dire sur l\u2019exactitude et la pr\u00e9cision des modules visco\u00e9lastiques calcul\u00e9s. Intuitivement, l\u2019\u00e9chantillonnage optimal du champ de d\u00e9placement sera r\u00e9alis\u00e9 quand, tout d\u2019abord, pour un RSB donn\u00e9, le nombre de voxels est adapt\u00e9 \u00e0 la longueur d\u2019onde de cisaillement, \u03bb \u2013 la fr\u00e9quence d\u2019excitation doit alors \u00eatre choisie en fonction \u2013 ensuite, quand l\u2019amplitude locale de l\u2019onde qui se propage ressort de l\u2019incertitude de la mesure du d\u00e9placement (<em>\u0394<\/em><em>q<\/em>), qui est d\u00e9termin\u00e9e sur le RSB effectif.\n\n<p class=\"has-medium-font-size\">Nous avons montr\u00e9 <em>in silico <\/em>[1], dans des fant\u00f4mes [2] et <em>in vivo <\/em>[3] \u00e0 diff\u00e9rents champs magn\u00e9tiques (1,5T, 3T et 11,7T) que l\u2019\u00e9chantillonnage spatiale et en amplitude de l\u2019onde doit satisfaire certaines conditions pour pouvoir conduire effectivement \u00e0 des mesures ERM non-biais\u00e9es et pr\u00e9cises. Dans ces conditions optimales, l\u2019ERM peut produire des cartes de vitesse ou de visco\u00e9lasticit\u00e9 de cisaillement qui peuvent \u00eatre r\u00e9gionalement compar\u00e9es pour un sujet ou entre diff\u00e9rents sujets.\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-6f78abe elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6f78abe\" 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-50 elementor-top-column elementor-element elementor-element-378c086\" data-id=\"378c086\" 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-abc651e elementor-widget elementor-widget-image\" data-id=\"abc651e\" 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=\"500\" height=\"333\" src=\"https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/05\/MRE2kHz_150u_DisField-500x333.gif\" class=\"attachment-large size-large wp-image-1021\" alt=\"\" srcset=\"https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/05\/MRE2kHz_150u_DisField-500x333.gif 500w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/05\/MRE2kHz_150u_DisField-150x100.gif 150w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/05\/MRE2kHz_150u_DisField-768x512.gif 768w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/05\/MRE2kHz_150u_DisField-600x400.gif 600w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/05\/MRE2kHz_150u_DisField-555x370.gif 555w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Figure 1: Champs de d\u00e9placement simul\u00e9s (haut) et acquis (bas) g\u00e9n\u00e9r\u00e9s dans un fant\u00f4me d\u2019alcool polyvinylique \u00e0 2 kHz avec un voxel isotrope de 150 \u00b5m \u00e0 11,7 T [1,2].<\/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-7c106ae\" data-id=\"7c106ae\" 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-dba2e67 elementor-widget elementor-widget-image\" data-id=\"dba2e67\" 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 decoding=\"async\" width=\"500\" height=\"224\" src=\"https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/05\/2-1-500x224.jpg\" class=\"attachment-large size-large wp-image-1020\" alt=\"\" srcset=\"https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/05\/2-1-500x224.jpg 500w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/05\/2-1-150x67.jpg 150w, https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/05\/2-1.jpg 580w\" sizes=\"(max-width: 500px) 100vw, 500px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\">Figure 2: Cartes de vitesse (rang\u00e9es du haut) et d\u2019\u00e9lasticit\u00e9 de cisaillement (rang\u00e9es du bas) dans un fant\u00f4me cylindrique m\u00e9caniquement homog\u00e8ne du foie \u00e0 1,5 T et 3,0 T pour une gamme de fr\u00e9quence d\u2019excitation allant de 40 Hz \u00e0 320 Hz. Les conditions optimales sont r\u00e9alis\u00e9es aux deux intensit\u00e9s du champ magn\u00e9tique autour de 130 Hz, fr\u00e9quence pour laquelle le nombre de voxels par longueur d\u2019onde de cisaillement est de l\u2019ordre de 6-9 et pour laquelle \u00e0 la fois la pr\u00e9cision et l\u2019exactitude sont minimales [3].<\/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\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-08041a7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"08041a7\" 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-c82d2a0\" data-id=\"c82d2a0\" 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-25ac37c elementor-widget elementor-widget-text-editor\" data-id=\"25ac37c\" 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<h3>Environnement scientifique<\/h3>\n<p class=\"has-medium-font-size\">Ce projet s\u2019inscrit dans une approche multiplateforme au sein de l\u2019infrastructure nationale <a href=\"https:\/\/www.francelifeimaging.fr\/\">France Life Imaging<\/a> sur un imageur Philips Achieva 1,5 T et un imageur hybride TEP-IRM 3T GE (<strong>BioMaps<\/strong>, <a href=\"http:\/\/joliot.cea.fr\/drf\/joliot\/Pages\/Entites_de_recherche\/shfj\/plateformes_shfj.aspx\">SHFJ<\/a>), un imageur Philips Achieva 3T (<a href=\"https:\/\/cri1149.fr\/equipes\/van-beers\/\">LBI<\/a>, <a href=\"http:\/\/recherche-hupnvs.aphp.fr\/partenaires-internes\/centre-de-recherche-linflammation-cri-umr_s-1149-erl-8252\/\">CRI<\/a>, Beaujon Hospital), et un imageur Bruker 11,7 T (<a href=\"http:\/\/joliot.cea.fr\/drf\/joliot\/Pages\/Entites_de_recherche\/NeuroSpin.aspx\">NeuroSpin<\/a>).\n\n<strong>Contacts<\/strong>:\n\n<a href=\"mailto:luc.darrasse@universite-paris-saclay.fr\">Luc Darrasse<\/a>, <a href=\"mailto:bertrand.kuhnast@cea.fr\">Bertarnd Kuhnast<\/a>, <a href=\"mailto:xavier.maitre@universit\u00e9-paris-saclay.fr\">Xavier Ma\u00eetre<\/a>, <a href=\"mailto:claire.barakat@inserm.fr\">Claire Pellot-Barakat<\/a>, <a href=\"mailto:stephanie.pitre@universite-paris-saclay.fr\">St\u00e9phanie Pitre-Champagnat\u00a0<\/a>\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-2af729f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"2af729f\" 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-3151f5f\" data-id=\"3151f5f\" 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-e67303f elementor-widget elementor-widget-text-editor\" data-id=\"e67303f\" 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><strong>R\u00e9f\u00e9rences<\/strong><\/p><p>1\/ J. L. Yue<em> et al.<\/em>, <strong>Acquisition and reconstruction conditions in silico for accurate and precise magnetic resonance elastography<\/strong>. <em>Physics in Medicine &amp; Biology<\/em> <strong>62<\/strong>, 8655 (2017).<\/p><p>\u00a6 Jin Long Yue <strong>\u00c9lastographie par ultrasons et r\u00e9sonance magn\u00e9tique appliqu\u00e9e au diagnostic des nodules thyro\u00efdiens<\/strong>, <a href=\"http:\/\/www.theses.fr\/2017SACLS483\">www.theses.fr\/2017SACLS483<\/a> (2017)<\/p><p>2\/ F. Julea<em> et al.<\/em> (2017) <strong>Optimal spatial resolution for accuracy and precision in simulated and experimental micro-MRE at 11.7 T<\/strong>. in <em>26<sup>th<\/sup> Scientific Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2014)<\/em> (Hawai, USA).<\/p><p>\u00a6 Felica Julea, <strong>Conditions de validit\u00e9 de l&#8217;\u00c9lastographie par R\u00e9sonance Magn\u00e9tique<\/strong>\u00a0 <a href=\"http:\/\/www.theses.fr\/2018SACLS053\">www.theses.fr\/2018SACLS053<\/a> (2018)<\/p><p>3\/ F. Andoh <em>et al.<\/em>, <strong>Evaluating brain MRE optimal conditions at low and high excitation frequencies <\/strong>in <em>28<sup>th<\/sup> Scientific Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2020)<\/em> (Paris, France)<\/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<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Contexte Scientifique L\u2019\u00e9lastographie par r\u00e9sonance magn\u00e9tique (ERM) est une modalit\u00e9 d\u2019imagerie non-invasive qui avance une quantification absolue des propri\u00e9t\u00e9s m\u00e9caniques des tissus humains in vivo. La reconstruction en ERM par inversion alg\u00e9brique de l\u2019\u00e9quation d\u2019onde du champ de d\u00e9placement distorsionnel de cisaillement est th\u00e9oriquement exempte de toute erreur.\u00a0 N\u00e9anmoins, ses performances sont mises \u00e0 l\u2019\u00e9preuve [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":615,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1018","page","type-page","status-publish","has-post-thumbnail","hentry"],"guten_post_layout_featured_media_urls":{"full":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-e1609957375858.png",750,126,false],"thumbnail":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-100x100.png",100,100,true],"medium":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-150x25.png",150,25,true],"medium_large":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-768x129.png",640,108,true],"large":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-500x84.png",500,84,true],"1536x1536":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-1536x257.png",1536,257,true],"2048x2048":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-e1609957375858.png",750,126,false],"guten_post_layout_landscape_large":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-1200x318.png",1200,318,true],"guten_post_layout_portrait_large":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-1200x318.png",1200,318,true],"guten_post_layout_square_large":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-1200x318.png",1200,318,true],"guten_post_layout_landscape":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-600x318.png",600,318,true],"guten_post_layout_portrait":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-600x318.png",600,318,true],"guten_post_layout_square":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-600x318.png",600,318,true],"sciencex-single-team-thumb":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-360x270.png",360,270,true],"sciencex-team-thumbnail":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-263x216.png",263,216,true],"sciencex-event-thumbnail":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-555x318.png",555,318,true],"sciencex-event-gallery-thumb":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-227x168.png",227,168,true],"sciencex-blog-thumb":["https:\/\/www.biomaps.universite-paris-saclay.fr\/wp-content\/uploads\/2020\/04\/Footer-100x80.png",100,80,true]},"_links":{"self":[{"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/pages\/1018","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/comments?post=1018"}],"version-history":[{"count":4,"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/pages\/1018\/revisions"}],"predecessor-version":[{"id":1024,"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/pages\/1018\/revisions\/1024"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/media\/615"}],"wp:attachment":[{"href":"https:\/\/www.biomaps.universite-paris-saclay.fr\/index.php\/wp-json\/wp\/v2\/media?parent=1018"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}