Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6029059 | NeuroImage | 2013 | 28 Pages |
Abstract
In this paper we studied how the homoscedastic and heteroscedastic approaches behave in terms of specificity and sensitivity in the detection of patient-specific ASL perfusion abnormalities. Validation was undertaken on a dataset of 25 patients diagnosed with brain tumors and 36 healthy volunteers. We showed evidence of heterogeneous within-subject variances in ASL and pointed out an increased false positive rate of the homoscedastic model. In the detection of patient-specific brain perfusion abnormalities with ASL, modeling heterogeneous variances increases the sensitivity at the same specificity level.
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Authors
Camille Maumet, Pierre Maurel, Jean-Christophe Ferré, Béatrice Carsin, Christian Barillot,