Computer aided diagnosis in neuroimaging must rely on advanced image processing techniques to detect and quantify subtle signal changes that may be surrogate indicators of disease state. This book proposes two such novel methodologies that are both based on large volumes of interest, are data driven, and make use of cross-sectional scans scans: appearance-based classification (ABC) and voxel-based classification (VBC). The concept of appearance in ABC represents the union of intensity and shape information extracted from magnetic resonance images (MRI). The classification method relies on a...