[en] Brain Segmentation This method segments a 3D image of the brain into different tissue types: grey matter (GM), white matter (WM) and cerebrospinal fluid (CSF). Inputs: T1-weighted 3D volume: Structural image to be segmented. Outputs: Grey Matter Segmentation: Modulated normalised probability map for grey matter, where each voxel contains a value in the range 0-1 that represents the proportion of that class's tissue present in that voxel. White Matter Segmentation: Modulated normalised probability map for white matter, where each voxel contains a value in the range 0-1 that represents the proportion of that class's tissue present in that voxel. CSF Segmentation: Modulated normalised probability map for CSF, where each voxel contains a value in the range 0-1 that represents the proportion of that class's tissue present in that voxel. References: -1- Ashburner,J., Friston, K.J. Unified Segmentation. Neuroimage, 2005; 26(3):839-851. -2- SPM - Statistical Parametric Mapping