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The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry
2008
NeuroImage
This study evaluates the application of (i) skull-stripping methods (hybrid watershed algorithm (HWA), brain surface extractor (BSE) and brain-extraction tool (BET2)) and (ii) bias correction algorithms (nonparametric nonuniform intensity normalisation (N3), bias field corrector (BFC) and FMRIB's automated segmentation tool (FAST)) as pre-processing pipelines for the technique of voxel-based morphometry (VBM) using statistical parametric mapping v.5 (SPM5). The pipelines were evaluated using a
doi:10.1016/j.neuroimage.2007.10.051
pmid:18065243
fatcat:z3ejhzwy5bfshjdn767wz5jg3i