An effective colon segmentation method in CT colonography.
- Author:
Xin XIONG
1
;
Jun LI
;
Jinfeng CAI
;
Yan KANG
Author Information
1. School of Sino-Dutch Biomedical & Information Engineering, Northeast University, Shenyang 110004, China. xiong-x@neusoft.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Colon;
diagnostic imaging;
Colonography, Computed Tomographic;
methods;
Humans;
Pattern Recognition, Automated;
methods;
Radiographic Image Enhancement;
methods;
Radiographic Image Interpretation, Computer-Assisted;
methods
- From:
Journal of Biomedical Engineering
2012;29(5):967-973
- CountryChina
- Language:Chinese
-
Abstract:
Colon cancer is one of the leading causes of cancer-related deaths, while the virtual colonoscopy plays an important role in the early detection of colon cancer. Effective colon segmentation is the basis of virtual colonoscopy. Oral contrast agent can reduce the use of laxatives, but it can to bring some difficulties in the colon segmentation. Because of the partial volume effect, the CT value of air-tagging boundary span a wide range, which are not easily eliminated. We present an effective method of colon segmentation in this paper. Firstly, we used adaptive threshold method to extract air area. Then we segmented tagging region and removed air-tagging boundary by segment region growing method based on statistical information and morphological operation. The experiments showed that the agreement between the results by manual and by orithm segmentation reached 93.4%.
