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