Recently, Alzheimer’s Disease (AD) is one of the most emerging elderly diseases. In this study, we propose employing Gaussian map descriptors to discriminate between AD, Mild Cognitive Impairment (MCI) and Normal subjects using T1-weighted Magnetic resonance images (MRI) downloaded from Alzheimer's disease Neuroimaging Initiative (ADNI) website. Extracted Gaussian map descriptors, calculated for the hippocampus, such as Gaussian curvature and mean curvature, were then fed to the support vector machine (SVM) for classification purposes. The Gaussian curvature outperformed mean curvature in case of normal to abnormal, and AD to MCI discrimination with accuracies of 69.5%, and 98.3% respectively.
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