Extension Artificial Immune System approach in MRI classification

Magnetic Resonance Imaging (MRI) has become a useful modality because it provides unparallel capability of revealing soft tissue characterization as well as 3-D visualization. Immune system is regarded a remarkable mechanism capable of self-organizing to best strengthen its function for defending outside attacks. As such, the Artificial Immune System (AIS) theory is gradually adopted in designing optimal computation systems. In the study, an extension AIS(EAIS) shows antibody affinity to deal with enormous spectrum data and also characterizes Gray Matter (GM), White Matter (WM) and Cerebral Spinal Fluid (CSF) to highly benefit doctors and patients. According to the comparing results, the EAIS is better than C-means in classification.