Alzheimer's Detection Based on Segmentation of MRI Image

In recent years, digital medical imaging technology has opened its door to the community. In this paper we provide a software solution for detecting the brain abnormalities for detection of Alzheimer's disease. The proposed algorithm is to produce a 3D representation of the brain from the MRI slices. This method is more accurate and reliable. MRI slices undergo different processes such as de-noising, segmentation, slice-o-matic (3D construction), and calculation of residual volume of brain parts. It uses the grey to white matter ratio for determining if the person is affected by Alzheimer's disease.