• 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