Fuzzy neural approach for segmentation of subcortical structures from MR head scans

A fuzzy neural approach is presented to segment subcortical structures, such as amygdala, caudate, putamen, hippocampus and thalamus, automatically, from MR head scans. Both the position and intensity features of these structures are used by fuzzy neural network and clustering techniques, incorporating a priori knowledge from neuroanatomy. Information of tissue classes and the positions of voxels are fused together to make decisions on them belonging to specific anatomical structures of the brain. Experimental results are presented to demonstrate the accuracy and use of the technique.