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
Link To Document :
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