A computer-based method for diagnosing a region of interest within an anatomical structure having the steps of receiving a 3D volumetric representation of the anatomical structure, and identifying at least one volume of interest and volume of normal of the anatomical structure. A first feature set can be generated based on a density, a gradient and a curvature of the volume of interest, and the first feature set can be compared to a second feature set to diagnose the region of interest to at least one a plurality of pathology types.