1. A method for automatic segmentation of inner ear anatomy of a living subject in a post-implantation CT image, comprising: coarsely segmenting a labyrinth with a labyrinth surface chosen from a library of inner ear anatomy shapes, wherein the labyrinth surface is chosen such that its far points best approximate the far points portion of the labyrinth in the post-implantation CT image; creating a target specific active shape model (ASM) for each of the labyrinth and the structures-of-interest (SOIs) using a set of inner ear anatomy surfaces selected from the library of inner ear anatomy shapes such that the set of inner ear anatomy surfaces has the smallest dissimilarity quantity with the coarsely localized labyrinth surface in the post-implantation CT image; refining the coarsely segmented labyrinth surface by performing an ASM-based segmentation of the labyrinth using the target-specific ASM of the labyrinth to obtain a segmented labyrinth; and fitting points of the target-specific ASM of the SOIs to their corresponding points on the segmented labyrinth to segment the SOIs in the post-implantation CT image.