TITLE:
Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set
AUTHORS:
Xuechen Li, Suhuai Luo, Jiaming Li
KEYWORDS:
Liver Segmentation; Fuzzy c-Mean Clustering; Level Set
JOURNAL NAME:
Journal of Signal and Information Processing,
Vol.4 No.3B,
October
16,
2013
ABSTRACT:
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.