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Proceedings Paper

Quantitative three-dimensional transrectal ultrasound (TRUS) for prostate imaging
Author(s): Sayan Dev Pathak; Rene G. Aarnink; Jean J.M.C.H. de la Rosette; Vikram Chalana; Hessel Wijkstra; David R. Haynor; Frans M. J. Debruyne; Yongmin Kim
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Paper Abstract

With the number of men seeking medical care for prostate diseases rising steadily, the need of a fast and accurate prostate boundary detection and volume estimation tool is being increasingly experienced by the clinicians. Currently, these measurements are made manually, which results in a large examination time. A possible solution is to improve the efficiency by automating the boundary detection and volume estimation process with minimal involvement from the human experts. In this paper, we present an algorithm based on SNAKES to detect the boundaries. Our approach is to selectively enhance the contrast along the edges using an algorithm called sticks and integrate it with a SNAKES model. This integrated algorithm requires an initial curve for each ultrasound image to initiate the boundary detection process. We have used different schemes to generate the curves with a varying degree of automation and evaluated its effects on the algorithm performance. After the boundaries are identified, the prostate volume is calculated using planimetric volumetry. We have tested our algorithm on 6 different prostate volumes and compared the performance against the volumes manually measured by 3 experts. With the increase in the user inputs, the algorithm performance improved as expected. The results demonstrate that given an initial contour reasonably close to the prostate boundaries, the algorithm successfully delineates the prostate boundaries in an image, and the resulting volume measurements are in close agreement with those made by the human experts.

Paper Details

Date Published: 26 June 1998
PDF: 10 pages
Proc. SPIE 3335, Medical Imaging 1998: Image Display, (26 June 1998); doi: 10.1117/12.312551
Show Author Affiliations
Sayan Dev Pathak, Univ. of Washington School of Medicine (United States)
Rene G. Aarnink, Univ. Hospital Nijmegen (Netherlands)
Jean J.M.C.H. de la Rosette, Univ. Hospital Nijmegen (Netherlands)
Vikram Chalana, Univ. of Washington (United States)
Hessel Wijkstra, Univ. Hospital Nijmegen (Netherlands)
David R. Haynor, Univ. of Washington School of Medicine (United States)
Frans M. J. Debruyne, Univ. Hospital Nijmegen (Netherlands)
Yongmin Kim, Univ. of Washington (United States)

Published in SPIE Proceedings Vol. 3335:
Medical Imaging 1998: Image Display
Yongmin Kim; Seong Ki Mun, Editor(s)

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