Research On Volume Calculation Of Liver Segment Based On CT Dataset

Liver is the largest digestive organ, which disease directly influences the existence and health of mankind. China is an area with high-disease of liver cancer, and living donor liver transplantation is a main method of curing advanced liver cancer. Although the amount of this kind of surgery in China has reached a large size, there is still rather high risk in the operation. It would be helpful for making necessary measures and hepatic surgery plans that if the irregular lesion shape and the important vessel configurations could be presented and the process of the operation could be simulated in advance.As a part of research on virtual liver and surgery planning system, the thesis focused on automatic segmentation of serial CT liver images and Volume Calculation of liver segment based on CT Dataset. First, according to the characteristics of serial CT liver images, a hybrid segmentation method is proposed , making the system more efficient. Second, this thesis studied the Couinaud's classification, completed voxel classification by distinguishing the supplied territory of the branch of the portal, and calculated the volume of liver segments based on it. This could help to present the risk of getting hypohepatia, make reasonable individual surgery schemes and reduce the surgery risk.The main contributions of this thesis are mainly lied in the following aspects:1,After analysis the characteristics of serial CT liver images, a fast segmentation method based on geometric active contour model was presented, which was used to segmentation the regions of interest from the image sequence.2,According to the features of intrahepatic vessels ,an algorithm based on the route of the vessels was put forward to extract the skeleton of them and identify every branch of the vessels.3,The liver segments determined according to the supplied territory of the branch of the portal vein. Using this method the division of liver segments is completed except the caudate lobe. Compared with plane division, this method has more clinical significance.