• DocumentCode
    2179188
  • Title

    Generation of a Graph Representation from Three-Dimensional Skeletons of the Liver Vasculature

  • Author

    Chen, Yufei ; Laura, Cristina Oyarzun ; Drechsler, Klaus

  • Author_Institution
    Fraunhofer Inst. for Comput. Graphics Res., Cognitive Comput. & Med. Imaging, Darmstadt, Germany
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Extracting hepatic vasculature from three dimensional imagery is important for diagnosis of liver disease and planning of liver surgery. In this paper we propose a method for generation of 3D skeletal graph of liver vessels using thinning algorithm and graph theory. First of all, basic methodology in the proposed method is introduced. Secondly, the skeletonization method together with a pre-processing method on liver vessel images is employed to form liver skeleton image. Thirdly, a graph-based technique is then employed on the skeleton result to efficiently form the hepatic vessel system. The liver vessel tree generation method was evaluated on liver CT datasets to show its effectiveness and efficiency.
  • Keywords
    blood vessels; computerised tomography; graph theory; image representation; liver; medical image processing; patient diagnosis; 3D skeletons; graph representation; graph theory; hepatic vasculature; liver disease; liver surgery; liver vasculature; liver vessel tree generation method; patient diagnosis; skeletonization method; thinning algorithm; Biomedical imaging; Computed tomography; Computer graphics; Graph theory; Image segmentation; Joining processes; Liver; Skeleton; Surgery; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4132-7
  • Electronic_ISBN
    978-1-4244-4134-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2009.5304971
  • Filename
    5304971