• DocumentCode
    2083668
  • Title

    Level-of-Detail Modeling of nasopharyngeal tissues Based on CT Image

  • Author

    Dai, Pei-Shan ; Wang, Bo-liang ; Bao, Chun-Bo ; Min, Xiao-Ping

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha
  • fYear
    2007
  • fDate
    23-27 May 2007
  • Firstpage
    131
  • Lastpage
    135
  • Abstract
    Nasopharyngeal tissue modeling is the base of computer simulation of nasopharyngeal carcinoma therapy. Nasopharyngeal tissue was segmented by a combine of doctor´s sketch and mathematical morphology method. A color lookup table was made for the fast recognition of about sixty tissues. For there are many tissues around nasopharynx, level-of-detail tactic is used to reconstruct different tissues by different methods. The improved marching cubes algorithm was used to reconstruct the nasopharyngeal tissue needed to be subtly display. The less important tissues were reconstructed by contour-connecting method. A series of simplified models were made to fit the simulation. Ray casting method was used to down sampling data of tissues that can show space position. The level-of-detail tactic reconstructed subtle model of important nasopharyngeal tissues while show the position of other nasopharyngeal tissues. It meets the needs of nasopharyngeal carcinoma treatment computer simulation.
  • Keywords
    biological tissues; cancer; computerised tomography; mathematical morphology; physiological models; CT Image; computer simulation; contour-connecting method; level-of-detail tactic; marching cubes algorithm; mathematical morphology method; nasopharyngeal carcinoma therapy; nasopharyngeal tissue modeling; ray casting method; Casting; Computational modeling; Computed tomography; Computer simulation; Displays; Image reconstruction; Image segmentation; Medical treatment; Morphology; Table lookup;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1077-4
  • Electronic_ISBN
    978-1-4244-1078-1
  • Type

    conf

  • DOI
    10.1109/ICCME.2007.4381707
  • Filename
    4381707