Instinctive classification of Alzheimer's disease using FMRI, pet and SPECT images

Alzheimer's disease (AD) is the most common form of dementia which mostly affects the aged people. In this Dementia is brain disorder that seriously distresses a person's ability to carry out day by day behavior. The diagnosis of the Alzheimer's disease (AD) based on nonnegative matrix factorization (NMF) and support vector machines (SVM) using to identify the disease. The different brain image databases are selected: functional magnetic resonance image (fMRI), single photon emission computed tomography (SPECT) database and positron emission tomography (PET) images. The images collected from the above methods containing for both Alzheimer's disease (AD) and well controls (normal active brain) patient's images. These resulting images are applying for the Fisher discriminant ratio (FDR) and nonnegative matrix factorization (NMF) which is used for characteristic selection and Extraction. The finally resulting NMF-transformed sets of data, used to classify by means of a SVM-based classifier.