1. A method of automatically detecting tissue abnormalities in images of a region of interest of a subject, comprising: obtaining first image data for said region of interest of said subject; segmenting said first image data into a plurality of sub-images corresponding to a plurality of anatomical structures, each sub-image comprising a plurality of image elements; normalizing each sub-image of said first image data based on statistical parameters derived from said plurality of image elements within each corresponding sub-image to provide first normalized image data; obtaining second image data for said region of interest of said subject; segmenting said second image data into a plurality of sub-images corresponding to a plurality of anatomical structures, each sub-image comprising a plurality of image elements; normalizing each sub-image of said second image data based on statistical parameters derived from said plurality of image elements within each corresponding sub-image to provide second normalized image data; processing said first and second normalized image data to provide resultant image data; and generating a probability map for said region of interest based on said resultant image data and a predefined statistical model, wherein said probability map indicates the probability of at least a portion of an abnormality being present at locations within said region of interest.