• DocumentCode
    415727
  • Title

    Quantification of extra-capsular prostate tissue from reconstructed tissue images

  • Author

    Hussein, Rania ; McKenzie, Frederic ; Schellhammer, Paul ; Diaz, Jose

  • Author_Institution
    Electr. & Comput. Eng. Dept., Old Dominion Univ., Norfolk, VA, USA
  • fYear
    2004
  • fDate
    19-21 May 2004
  • Firstpage
    191
  • Lastpage
    196
  • Abstract
    Currently there are little objective parameters that can quantify the success of one form of prostate surgical removal over another. Parameters such as the percent of coverage and depth of extra-capsular soft tissue removed with the prostate by the various surgical approaches can aid in quantifying prostate surgery success. Previously, we presented visualization methods as well as measurement algorithms to determine extra- capsular tissue coverage. In this paper, we present a modification to the coverage algorithm where we changed the way of mapping the reconstructed model as well as applying different neighborhood check approaches.
  • Keywords
    biological organs; biological tissues; cancer; image reconstruction; medical image processing; surgery; coverage algorithm; extracapsular prostate tissue; prostate surgical removal; reconstructed tissue images; Biomedical engineering; Biomedical imaging; Data visualization; Deformable models; Glands; Image reconstruction; Neoplasms; Oncological surgery; Prostate cancer; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering, 2004. BIBE 2004. Proceedings. Fourth IEEE Symposium on
  • Print_ISBN
    0-7695-2173-8
  • Type

    conf

  • DOI
    10.1109/BIBE.2004.1317342
  • Filename
    1317342