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
* Corresponding author
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.
Complete list of metadatas

https://www.hal.inserm.fr/inserm-00767115
Contributor : Camille Maumet <>
Submitted on : Wednesday, December 19, 2012 - 3:06:21 PM
Last modification on : Tuesday, March 5, 2019 - 1:45:47 AM
Long-term archiving on : Wednesday, March 20, 2013 - 11:27:13 AM

File

Maumet_ISMRM_Perfusion2012_Hyp...
Files produced by the author(s)

Identifiers

  • HAL Id : inserm-00767115, version 1

Citation

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. ⟨inserm-00767115⟩

Share

Metrics

Record views

1526

Files downloads

372