Semiautomatic Model-Based Segmentation of the Brain from Magnetic Resonance Images

We describe an algorithm for segmentation of 3D nagnetic resonance images into major neuroanatomical tructures with minimal requirement for user interaction. This technique incorporates a priori knowledge of volumes and surfaces present in the head, but permits extensive deviation from these assumptions to accommodate the wide morphological variability seen in clinical practice.