Title
Patient-specific detection of perfusion abnormalities combining within-subject and between-subject variances in Arterial Spin Labeling.
Abstract
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
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 Maumet1254.68
Pierre Maurel2425.80
Jean-Christophe Ferré3186.07
Béatrice Carsin410.36
Christian Barillot51290133.50