Tissue Discrimination In Magnetic Resonance 3D Data Sets

An algorithm was designed to discriminate tissue types, including pathology, utilizing 3D data sets acquired with Magnetic Resonance. This procedure can be adapted to different segmentation problems and works automatically for the whole data set after an interactive training on one representative slice out of the volume. 3D surface reconstruction with ray tracing methods is used to visualize different soft tissue types, according to the classification procedure to yield optimal anatomical and topographical relationships.