• DocumentCode
    3050631
  • Title

    A Direct Segmentation Algorithm of Medical Volume Data Based on Fuzzy Transition

  • Author

    Li Xinwu

  • Author_Institution
    Electron. Bus. Dept., Jiangxi Univ. of Finance & Econ., Nanchang
  • fYear
    2007
  • fDate
    6-8 July 2007
  • Firstpage
    864
  • Lastpage
    867
  • Abstract
    3D direct volume segmentation is a nodus and one of research hotspots in 3D medical data field processing. Through the analysis of physical properties of the medical data field, a direct segmentation algorithm of medical volume data based on fuzzy transition is put forward. Firstly, the existence of transitional regions and the feasibility of fuzzy segmentation in the medical data field are demonstrated. Secondly, middle region between-class that is difficult to distinguish is segmented into transitional regions so as to avoid either-or rigid segmentation in common segmentation algorithm. Finally, the experimental results shows that the algorithm not only decreases the segmentation difficulties of medical data field, but also satisfies the non-rigid segmentation requirements for the following rendering and at the same improves the anti-interference capability of segmentation.
  • Keywords
    fuzzy systems; image segmentation; medical image processing; 3D direct volume segmentation; antiinterference capability; direct segmentation algorithm; fuzzy segmentation; fuzzy transition; medical data field; medical volume data; nonrigid segmentation requirements; Algorithm design and analysis; Biomedical imaging; Data mining; Data visualization; Displays; Finance; Forward contracts; Image segmentation; Laboratories; Rendering (computer graphics);
  • 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.2007.225
  • Filename
    4272709