Automatic segmentation of the cortical grey and white matter in MRI using a region-growing approach based on anatomical knowledge

Abstract

We propose an automatic procedure for the correct segmentation of grey and white matter in MR data sets of the human brain. Our method exploits general anatomical knowledge for the initial segmentation and for the subsequent refinement of the estimation of the cortical grey matter. Our results are comparable to manual segmentations.