DocumentCode
3049105
Title
A Simplified Method to Segment Liver According to Couinaud´s Classification
Author
Huang, Shao-hui ; Wang, Bo-liang ; Cheng, Ming ; Huang, Xiao-yang ; Ju, Ying
Author_Institution
Dept. of Comput. Sci., Xiamen Univ., Xiamen
fYear
2007
fDate
6-8 July 2007
Firstpage
523
Lastpage
526
Abstract
Couinaud´s classification of liver anatomy has been widely accepted in practice. However realizing this classification effectively is not an easy task. In this paper, a simplified segment method based on the hepatic vessel tree is proposed. This method contains four main steps: vasculature segmentation, 3D thinning, vascular tree pruning and classification, vascular projection and curve fit. The first three steps are to extract and analyze the vasculature from liver CT images; and the fourth step is to segment the liver by separation of vessel systems. We test this method and find that it can actually get the result very approximately to the Couinaud´s classification with high speed.
Keywords
blood vessels; computerised tomography; curve fitting; image classification; image segmentation; image thinning; liver; medical image processing; 3D thinning; Couinaud´s classification; curve fitting; hepatic vessel tree; liver CT image; liver anatomy; liver segmentation; vascular projection; vascular tree pruning; vasculature segmentation; volumetric analysis; Anatomy; Classification tree analysis; Computed tomography; Computer science; Image analysis; Image segmentation; Liver; Portals; Surgery; Veins; Couinaud´s classification, vessel tree projection, volumetric analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location
Wuhan
Print_ISBN
1-4244-1120-3
Type
conf
DOI
10.1109/ICBBE.2007.137
Filename
4272621
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