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An exploration of three dimensional CT image segmentation

吕晔昀;杨建宁

  This paper is a pilot project to explore an efficient region-based approach to segment liver from three dimensional (3D) Computed tomography (CT) images. There are two major segmentation steps: one is rough segmentation based on Markov Random Field theory, the next one is morphological refinement. The developed algorithms were tested using a dataset from the American GE Medical Systems. The results demonstrate that the proposed procedures can effectively and efficiently segment liver from 3D CT data volume.……