Diagnosis of schizophrenic brain MRI images using Level- Set Evolution

Abstract

Due to various reasons, most of the humans are suffering due to several brain disorders. If the brain illness is identified in the pre-mature level, it is possible to suggest treatment process to cure/control the disease/disorders. One of such disease is schizophrenia. It is a brain disorder which can affect the regular behaviour of a person. The symptoms of schizophrenia are problems with thought process, decision making and emotional instability. Signal (EEG) and images based techniques are used to identify the schizophrenia. The proposed work aims to detect schizophrenia using brain MRI images. The work executes a series of image processing techniques including pre-processing, segmentation and performance validation. The experimental results implies that, proposed method provides improved results on the MRI images.