Automatic 3D segmentation of CT images based on active contour models

Liver segmentation on computed tomography (CT) images is a challenging task due to the anatomic complexity and the imaging system noises. In this paper a complex algorithm based on active contour is proposed to automatically extract the liver region in abdominal CT images. Combined with threshold segmentation, morphology image processing and active contour models, we can automatically extract the initial contour and segment the liver slice by slice, Experimental results show that the proposed method gives automatic and accurate liver structure segmentation.