Automated segmentation of magnetic resonance (MR) brain imagery into anatomical regions is a complex task that needs contextual guidance to overcome problems associated with noise, missing data, and the overlap of features associated with different anatomical regions. In this work, the contextual information is provided as an anatomical brain atlas. The matching of atlas to image data is represented by a set of deformable contours that seek compromise fits between expected model information and image data.<<ETX>>