Automatic detection of perfusion abnormalities based on an Arterial Spin Labeling template

Camille Maumet 1, * Pierre Maurel 1 Jean-Christophe Ferré 2 Christian Barillot 1
* Auteur correspondant
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : Arterial Spin Labeling (ASL) is a valuable tool to study perfusion in both healthy subjects and patients. In recent years, a large number of studies has demonstrated that this technique is able to outline patterns of abnormal perfusion at the group level. At the individual level, however, identification of patient-specific abnormal patterns of perfusion usually relies on visual inspection or manual delineation of region of interests. These are time-consuming approaches, qualitative and expert-dependent. The aim of this study is to provide a robust method to automatically outline abnormal perfusion patterns at the individual level based on a novel quantitative statistical analysis.
Type de document :
Communication dans un congrès
ISMRM scientific workshop. Perfusion MRI: Standardization, Beyond CBF & Everyday Clinical Applications, Oct 2012, Netherlands. pp.8, 2012
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http://www.hal.inserm.fr/inserm-00767115
Contributeur : Camille Maumet <>
Soumis le : mercredi 19 décembre 2012 - 15:06:21
Dernière modification le : mercredi 2 août 2017 - 10:06:13
Document(s) archivé(s) le : mercredi 20 mars 2013 - 11:27:13

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  • HAL Id : inserm-00767115, version 1

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Camille Maumet, Pierre Maurel, Jean-Christophe Ferré, Christian Barillot. Automatic detection of perfusion abnormalities based on an Arterial Spin Labeling template. ISMRM scientific workshop. Perfusion MRI: Standardization, Beyond CBF & Everyday Clinical Applications, Oct 2012, Netherlands. pp.8, 2012. 〈inserm-00767115〉

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