Shaving diffusion tensor images in discriminant analysis: a study into schizophrenia.
A technique called 'shaving' is introduced to automatically extract the combination of relevant image regions in a comparative study. No hypothesis is needed, as in conventional pre-defined or expert selected region of interest (ROI)-analysis. In contrast to traditional voxel based analysis (VBA), correlations within the data can be modeled using principal component analysis (PCA) and linear discriminant analysis (LDA). A study into schizophrenia using diffusion tensor imaging (DTI) serves as an application. Conventional VBA found a decreased fractional anisotropy (FA) in a part of the genu of the corpus callosum and an increased FA in larger parts of white matter. The proposed method reproduced the decrease in FA in the corpus callosum and found an increase in the posterior limb of the internal capsule and uncinate fasciculus. A correlation between the decrease in the corpus callosum and the increase in the uncinate fasciculus was demonstrated.
Caan
M W A
MW
Quantitative Imaging Group, Delft University of Technology, Lorentzweg 1, 2628 CJ, Delft, The Netherlands. m.w.a.caan@tudelft.nl
Vermeer
K A
KA
van Vliet
L J
LJ
Majoie
C B L M
CB
Peters
B D
BD
den Heeten
G J
GJ
Vos
F M
FM
D000293:Adolescent; D000328:Adult; D003198:Computer Simulation; D003337:Corpus Callosum / Q000473:pathology; D038524:Diffusion Magnetic Resonance Imaging; D016002:Discriminant Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D025341:Principal Component Analysis; D012559:Schizophrenia / Q000145:classification / Q000175:diagnosis / Q000473:pathology*