Title | ||
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Patient-specific detection of perfusion abnormalities combining within-subject and between-subject variances in Arterial Spin Labeling. |
Abstract | ||
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In this paper, patient-specific perfusion abnormalities in Arterial Spin Labeling (ASL) were identified by comparing a single patient to a group of healthy controls using a mixed-effect hierarchical General Linear Model (GLM). Two approaches are currently in use to solve hierarchical GLMs: (1) the homoscedastic approach assumes homogeneous variances across subjects and (2) the heteroscedastic approach is theoretically more efficient in the presence of heterogeneous variances but algorithmically more demanding. In practice, in functional magnetic resonance imaging studies, the superiority of the heteroscedastic approach is still under debate. Due to the low signal-to-noise ratio of ASL sequences, within-subject variances have a significant impact on the estimated perfusion maps and the heteroscedastic model might be better suited in this context. |
Year | DOI | Venue |
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2013 | 10.1016/j.neuroimage.2013.04.079 | NeuroImage |
Keywords | Field | DocType |
Arterial Spin Labeling,Hypo-perfusion,Hyper-perfusion,General Linear Model,Within-subject variance,Heteroscedasticity | Perfusion scanning,False positive rate,Heteroscedasticity,Functional magnetic resonance imaging,General linear model,Homoscedasticity,Site-directed spin labeling,Statistics,Mathematics,Perfusion | Journal |
Volume | ISSN | Citations |
81 | 1053-8119 | 1 |
PageRank | References | Authors |
0.36 | 10 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Camille Maumet | 1 | 25 | 4.68 |
Pierre Maurel | 2 | 42 | 5.80 |
Jean-Christophe Ferré | 3 | 18 | 6.07 |
Béatrice Carsin | 4 | 1 | 0.36 |
Christian Barillot | 5 | 1290 | 133.50 |