3D Segmentation Research of CT Liver Image Sequences

By considering the characters of liver CT image sequences, a new segmentation way is proposed based on an advanced Snake model associated with seeded region growing method. With this method, a CT image clear edges is selected from CT liver image sequences, then several seeds are selected in the liver region, the seeded region growing method is used to get an initial edge. The edge is optimized by advanced Snake model and served as the initial edge of the next CT image. This procedure is repeated until all images are processed. Experimental results show that the algorithm can obtain segmentation result of soft tissue image efficiently and accurately.