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Proceedings Paper

Completely automated estimation of prostate volume for 3-D side-fire transrectal ultrasound using shape prior approach
Author(s): Lu Li; Ramakrishnan Narayanan; Steve Miller; Feimo Shen; Al B. Barqawi; E. David Crawford; Jasjit S. Suri
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Paper Abstract

Real-time knowledge of capsule volume of an organ provides a valuable clinical tool for 3D biopsy applications. It is challenging to estimate this capsule volume in real-time due to the presence of speckles, shadow artifacts, partial volume effect and patient motion during image scans, which are all inherent in medical ultrasound imaging. The volumetric ultrasound prostate images are sliced in a rotational manner every three degrees. The automated segmentation method employs a shape model, which is obtained from training data, to delineate the middle slices of volumetric prostate images. Then a "DDC" algorithm is applied to the rest of the images with the initial contour obtained. The volume of prostate is estimated with the segmentation results. Our database consists of 36 prostate volumes which are acquired using a Philips ultrasound machine using a Side-fire transrectal ultrasound (TRUS) probe. We compare our automated method with the semi-automated approach. The mean volumes using the semi-automated and complete automated techniques were 35.16 cc and 34.86 cc, with the error of 7.3% and 7.6% compared to the volume obtained by the human estimated boundary (ideal boundary), respectively. The overall system, which was developed using Microsoft Visual C++, is real-time and accurate.

Paper Details

Date Published: 3 March 2008
PDF: 6 pages
Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 68120G (3 March 2008); doi: 10.1117/12.766682
Show Author Affiliations
Lu Li, Eigen LLC (United States)
Ramakrishnan Narayanan, Eigen LLC (United States)
Steve Miller, Eigen LLC (United States)
Feimo Shen, Eigen LLC (United States)
Al B. Barqawi, Univ. of Colorado Health Sciences Ctr. (United States)
E. David Crawford, Univ. of Colorado Health Sciences Ctr. (United States)
Jasjit S. Suri, Eigen LLC (United States)

Published in SPIE Proceedings Vol. 6812:
Image Processing: Algorithms and Systems VI
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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