Abstract
Alzheimer disease (AD) is the most common form of dementia. Structural (MRI) measurements allow detecting and following the evolution of brain atrophy which is a marker of the disease process. Recently, several pattern recognition methods have been proposed to automatically discriminate between patients with and without Alzheimer disease . Support Vector Machines help to identify patterns in data that differentiate between several classes. Hippocampus is the principal region involved in AD. In this work, we use visual description of the hippocampus ROI to detect Alzheimer disease from structural MR images.