• DocumentCode
    2522716
  • Title

    3D Multi-scale level set segmentation of vertebrae

  • Author

    Tan, Sovira ; Yao, Jianhua ; Ward, Michael M. ; Yao, Lawrence ; Summers, Ronald M.

  • Author_Institution
    Clinical Centre, Nat. Inst. of Health, Bethesda, MD
  • fYear
    2007
  • fDate
    12-15 April 2007
  • Firstpage
    896
  • Lastpage
    899
  • Abstract
    We present a 3D multi-scale segmentation algorithm for vertebrae based on a cascade of level sets. We validated the performance of the algorithm in terms of accuracy, robustness and speed and compared it with its original single-scale version using a synthetic vertebra and a semi-synthetic one containing natural structured noise. The multi-scale algorithm was found to be 4 to 5 times faster and could be half a voxel more accurate than the single-scale algorithm. Synthetic vertebrae also allowed us to try a large number of level set parameters. Analysis of the results revealed trends about parameter combinations leading to leakage or under segmentation. After selecting a good set of parameters we tested the algorithm on 50 real vertebrae. The success rates were 90% and 80% respectively for the multi-scale and single-scale algorithms.
  • Keywords
    image segmentation; medical image processing; level sets; multiscale algorithm; segmentation; semisynthetic vertebra; synthetic vertebra; Government; Level set; Protection; Spine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    1-4244-0672-2
  • Electronic_ISBN
    1-4244-0672-2
  • Type

    conf

  • DOI
    10.1109/ISBI.2007.356997
  • Filename
    4193431