• DocumentCode
    3051345
  • Title

    Reconstruction of Contour Lines in TPS Using Delaunay Triangulation

  • Author

    Zhen Xin ; Zhou Linghong ; Wang Zhuoyu ; Chen Chaomin

  • Author_Institution
    Sch. of Biomed. Eng., Southern Med. Univ., Guangzhou
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    1022
  • Lastpage
    1024
  • Abstract
    Contour lines three-dimensional reconstruction is a key technology in treatment planning system (TPS), it helps the planner obtain locating information of pathological changes and normal organs inside patient´s body to design more accurate treatment plan. The Delaunay triangulation is one of the famous algorithms in computer graphics and has extensive application in digital terrain Model (DTM). A wide variety of algorithms have been proposed to construct triangulation. They fall into three broad categories: divide-and-conquer, incremental insertion and triangulation growth. After reviewed the basic algorithm of Delaunay triangulation, this paper extended the divide-and- conquer algorithm to three-dimensional, study its process based on the powerful class libraries-visualization toolkit (VTK), and realize the 3D reconstruction of contour lines of spine and tumors, whose data is stored in the form of unstructured points. Our results show that delaunay triangulation is reliable, efficient, and also makes no special restriction on the 3D distribution of the contour line points.
  • Keywords
    computer graphics; medical image processing; patient treatment; tumours; Delaunay triangulation; computer graphics; digital terrain model; divide-and-conquer algorithm; spine; three-dimensional contour line reconstruction; treatment planning system; tumors; visualization toolkit; Application software; Biomedical engineering; Chaos; Computer graphics; Equations; Medical treatment; Path planning; Pathology; Shape; Technology planning;
  • 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.2007.264
  • Filename
    4272748