Statistical Region Merging and Segmentation in Abdominal CT

Abstract

This paper aims to describe an emerging method, the 3D statistical region merging method in medical image analysis. The method is a 3D generalization of the Statistical Region Merging method proposed by Nock and Nielsen in 2004. The 3D generalized statistical region merging method take into consideration of the group assignments of 3D neighboring voxels in a sequence of images such as CT images. The superiority of the 3D statistical region merging method is demonstrated in abdominal CT segmentation in this paper.