Grey-Level Morphology Based Segmentation of T1-MRI of the Human Cortex

In this paper an algorithm for fully automatic segmentation of the cortex from T1-weighted transversal, coronal or sagittal MRI data is presented. A histogram-based method is used to find accurate threshold values. Four initial masks are generated, containing background, brain tissue, 3D grey-level eroded brain tissue and 3D grey-level dilated surrounding fat. Information from previous slices are used to avoid leaking from non-brain tissue.