Automatic Segmentation of Liver from Computerised Tomography (CT) Images

Most attempts at automatic segmentation of liver tissue to date have relied on 2D, low-level segmentation techniques, such as thresholding and mathematical morphology, to obtain the basic liver structure. The derived boundary can then be smoothed or refined using more advanced methods. Here we present results that improve greatly on this previous work by using a topology adaptive active contour model, or snake, to accurately segment the liver outline from CT images.