ITEM METADATA RECORD
Title: The effect of template selection on diffusion tensor voxel-based analysis results
Authors: Van Hecke, Wim ×
Leemans, Alexander
Sage, Caroline A
Emsell, Louise
Veraart, Jelle
Sijbers, Jan
Sunaert, Stefan
Parizel, Paul M #
Issue Date: Mar-2011
Publisher: Academic Press
Series Title: NeuroImage vol:55 issue:2 pages:566-573
Abstract: Diffusion tensor imaging (DTI) is increasingly being used to study white matter (WM) degeneration in patients with psychiatric and neurological disorders. In order to compare diffusion measures across subjects in an automated way, voxel-based analysis (VBA) methods were introduced. In VBA, all DTI data are transformed to a template, after which the diffusion measures of control subjects and patients are compared quantitatively in each voxel. Although VBA has many advantages compared to other post-processing approaches, such as region of interest analysis or tractography, VBA results need to be interpreted cautiously, since it has been demonstrated that they depend on the different parameter settings that are applied in the VBA processing pipeline. In this paper, we examine the effect of the template selection on the VBA results of DTI data. We hypothesized that the choice of template to which all data are transformed would also affect the VBA results. To this end, simulated DTI data sets as well as DTI data from control subjects and multiple sclerosis patients were aligned to (i) a population-specific DTI template, (ii) a subject-based DTI atlas in MNI space, and (iii) the ICBM-81 DTI atlas. Our results suggest that the highest sensitivity and specificity to detect WM abnormalities in a VBA setting was achieved using the population-specific DTI atlas, presumably due to the better spatial image alignment to this template.
ISSN: 1053-8119
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Radiology
Translational MRI (+)
× corresponding author
# (joint) last author

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