Robust retrieval of 3D structures from magnetic resonance images

A modular approach for extracting 3D information from a stack of 2D slices is presented. The bottom-up procedure makes extensive use of robust high breakdown point estimators adapted to image analysis. All the decision parameters are either derived from the data or are context-independent. A priori information is easy to integrate, and the reliability of the results can be verified by seeking the consensus among independent executions of the procedure.