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Fourth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'04)
Quantitation of Extra-Capsular Prostate Tissue from Reconstructed Tissue Images
Taichung, Taiwan, ROC
May 19-May 21
ISBN: 0-7695-2173-8
Rania Hussein, Old Dominion University, Norfolk, VA
Frederic (Rick) McKenzie, Old Dominion University, Norfolk, VA
Paul Schellhammer, Eastern Virginia Medical School, Norfolk, VA
Jose Diaz, Eastern Virginia Medical School, Norfolk, VA
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.
Index Terms:
Visualization, Prostate cancer, medical image processing, quantifying prostate surgery success
Citation:
Rania Hussein, Frederic (Rick) McKenzie, Paul Schellhammer, Jose Diaz, "Quantitation of Extra-Capsular Prostate Tissue from Reconstructed Tissue Images," bibe, pp.191, Fourth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'04), 2004
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