Title of article :
Shaving diffusion tensor images in discriminant analysis: A study into schizophrenia
Author/Authors :
M.W.A. Caan، نويسنده , , K.A. Vermeer، نويسنده , , L.J. van Vliet، نويسنده , , C.B.L.M. Majoie، نويسنده , , B.D. Peters، نويسنده , , G.J. den Heeten، نويسنده , , F.M. Vos، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Pages :
9
From page :
841
To page :
849
Abstract :
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.
Keywords :
Shaving , Principal component analysis , linear discriminant analysis , Schizophrenia , Diffusion tensor imaging
Journal title :
Medical Image Analysis
Serial Year :
2006
Journal title :
Medical Image Analysis
Record number :
449955
Link To Document :
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