The segmentation of liver using computed tomography (CT) data has gained a lot of importance in the medical image processing field. In this paper, we present a survey on liver segmentation methods and techniques using CT images for liver segmentation. Generally, liver segmentation methods are divided into two main classes, semi-automatic and fully automatic methods, under each of these two categories, several methods, approaches, related issues and problems will be defined and explained. The evaluation measurements and scoring for the liver segmentation are shown, followed by the comparative study for liver segmentation methods, pros and cons of methods will be accentuated carefully. Here a fully 3D algorithm for automatic liver segmentation from CT volumetric datasets is presented. The algorithmstarts by smoothing the original volume using anisotropic diffusion. The coarse liver region is obtained from the threshold process that is based on a priori knowledge.

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This paper discusses the surface profile method based on image registration, and illustrates the principle and key points of registration algorithm based on surface profile. Canny operator is adopted to extract the surface contour and method based on quaternion and the singular value decomposition is used for space registration of the corresponding points, as well as the closest iterative search (ICP). In order to improve the registration speed, we adopt multiple step iteration method, which has been proved to be a reliable method according to the experiment.

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