In view of the problems of more artificial interventions and segmentation defects in existing two-dimensional segmentation methods and abnormal liver segmentation errors in three-dimensional segmentation methods, this paper presents a semi-automatic liver organ segmentation method based on the image sequence context. The method takes advantage of the existing similarity between the image sequence contexts of the prior knowledge of liver organs, and combines region growing and level set method to carry out semi-automatic segmentation of livers, along with the aid of a small amount of manual intervention to deal with liver mutation situations. The experiment results showed that the liver segmentation algorithm presented in this paper had a high precision, and a good segmentation effect on livers which have greater variability, and can meet clinical application demands quite well.
Citation： ZHANGMeiyun, FANGBin, WANGYi, ZHONGNanchang. Segmentation Method for Liver Organ Based on Image Sequence Context. Journal of Biomedical Engineering, 2015, 32(5): 1125-1130. doi: 10.7507/1001-5515.20150199 Copy