Schizophrenia Detection using Brain MRI — A Study with Watershed Algorithm

Abstract

Due to various reasons, most of the humans are suffering due a variety of developed brain sicknesses. If the brain illness is recognized in its premature phase, it is possible to suggest and implement a treatment procedure to cure/control the disease. Schizophrenia is one of the chronic brain disorders; which severely affects the normal behavior of a person. The person with schizophrenia will have problems with thinking, feeling and general behavior. Medical signal and image based procedures are commonly used to identify the schizophrenia and a considerable number of signal (EEG) assisted techniques are already discussed in the literature. The proposed work aims to detect and analyze the schizophrenia using brain MRI slices. This work executes a segmentation practice to extort the brain section affected with the schizophrenia. The experimental results of this work confirm that, proposed technique offers better result on the two-dimensional MRI slices.