Brain Alzheimer’s disease Detection in Magnetic Resonance Images Using Image Processing

Abstract

Alzheimer Disease is a chronic neurodegenerative disease and genetic disease that harm the brain nerve cells and tissue loss throughout the brain which causes loss of memory and thinking ability and change in its behavior. In this paper we determine early detection of Alzheimer disease through image processing on Magnetic Resonance Image (MRI) and classification of MRI of brain based on extraction of different features. The paper manifest the application of several image processing technique such as Otsu’s Thresholding and Hidden Markov Random field model (HMRF-EM) and expectation maximization. The feature use for this project acquire from grey Level Co-occurrence Matrix (GLCM) such us Entropy, Homogeneity and Correlation and also the volume ratio of grey matter and white matter to cerebrospinal fluid. This project design in software MATLAB for early detection of Alzheimer disease.