Segmentation of brain MRI by adaptive mean shift

A new automatic segmentation method for MRI images of the brain is presented, based on the adaptive mean-shift algorithm. Existing parametric methods utilize the intensity information for the segmentation task. When spatial information is introduced, parametric models may fail due to the non-convex nature of the brain tissue anatomy. A natural integration of intensity and spatial features is enabled in the non-parametric mean-shift formalism. The proposed method is validated on both simulated and real datasets