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SEGMENTATION OF LIVER IMAGES BY TEXTURE AND GENETIC SNAKES

The liver is a common site of metastatic disease. The diagnosis of liver metastases in patients at high risk is straightforward, but estimating the gravity is more problematic. We investigate the use of Computed Tomography (CT) scans. The first problem is to segment the liver itself in the CT scan; the second is to segment the metastases in the liver to evaluate their relative volume. In this pre-study, we propose a new method to segment the whole liver based on textural properties of the image and active contour models.