The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry


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… (More)
DOI: 10.1016/j.neuroimage.2007.10.051

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