Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set

• 作者: Jiaming Li Suhuai Luo Xuechen Li
• 来源期刊: 信号与信息处理(英文)
• 学科: 工学
• 关键词: LIVER SEGMENTATION FUZZY c-Mean CLUSTERING Level SET
• 年，卷（期）: 2013,（3）
• 页码范围: 36-42
• 页数: 7页
• 分类号: TP39

摘要

This paper presents a fully automatic segmentation method of liver CT scans using fuzzy c-mean clustering and level set. First, the contrast of original image is enhanced to make boundaries clearer;second, a spatial fuzzy c-mean clustering combining with anatomical prior knowledge is employed to extract liver region automatically;thirdly, a distance regularized level set is used for refinement;finally, morphological operations are used as post-processing. The experiment result shows that the method can achieve high accuracy (0.9986) and specificity (0.9989). Comparing with standard level set method, our method is more effective in dealing with over-segmentation problem.