3D Reconstruction of Brain Images from 2D MRI Images

Brain is the most important part of the human body. It consist of different types of encephalic tissues .The boundary of each of these encephalic tissues, which makes up the brain, is highly irregular. So, traditional 3-D reconstruction algorithms, using brain MRI images do not give accurate reconstruction. Two class Support vector machines are found to be very successful for pattern recognition problems. Because of its powerful ability to solve nonlinearity problems Sphereshaped support vector machines (SSSVMs) are used in the 3-D reconstruction. Brain tissues can be segmented based on their intensity values. Region growing method is used for segmentation of MRI images as it gives accurate results and can segment more than one type of brain tissue at a time. These segmented images are then classified using SSSVM. The selected parameters are optimized using Immune Algorithm which makes SSSVM more flexible. Keywords-Encephalic tissues; Fuzzy Inference System (FIS); Radial Basis Function (RBF); Immune Algorithm (IA); Sphere Shaped Support Vector Machine(SSSVM).