Medical image segmentation with MARA

The multilayer adaptive resonance architecture (MARA) is a highly stable and plastic self-organizing neural network which is capable of recognizing, reconstructing, and segmenting the traces of previously learned binary patterns. The recognition and reconstruction properties of the network are invariant with respect to distortion, noise, translation, scaling and partial rotation of the original training patterns. If multiple traces of trained patterns are simultaneously presented, the network can separate and reconstruct the traces separately. A description is given of MARA and an image segmentation scheme using MARA. MARA´s ability to segment some biological structures in high-speed synchronous volume CT images of the heart is demonstrated