Share Email Print

Proceedings Paper

Automatic segmentation of prostate boundaries in transrectal ultrasound (TRUS) imaging
Author(s): Haisong Liu; Gang Cheng; Deborah Rubens; John G. Strang; Lydia Liao; Ralph Brasacchio; Edward Messing; Yan Yu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

An automatic segmentation method for detecting the prostate boundary in transrectal ultrasound (TRUS) images was developed. The TRUS images were preprocessed by using an adaptive directional filtering and an automatic attenuation compensation for noise removal and contrast enhancement. A directional search strategy was used to locate key-points on the prostate boundary. The prostate contour was interpolated from the key-points under the supervision of a morphological prostate boundary model, which had been trained from prior manual segmentation of a large number of TRUS images. A new prostate center was calculated based on the intermediate segmentation result. The algorithm is reiterated until the prostate boundary and center reach a stable state. The overall performance of the method was compared to manual segmentation of an expert radiologist. About 78% out of 282 TRUS images (excluding base and apex slices) from three types of ultrasound machine (Acuson, Siemens, and B&K) were correctly delineated. The segmentation error was 0.9 mm averaged on 30 selected images, 10 for each type of machine. The computation time for a typical series of TRUS images is approximately 1 minute on a Pentium-II computer.

Paper Details

Date Published: 9 May 2002
PDF: 12 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467183
Show Author Affiliations
Haisong Liu, Univ. of Rochester (United States)
Gang Cheng, Univ. of Rochester (United States)
Deborah Rubens, Univ. of Rochester (United States)
John G. Strang, Univ. of Rochester (United States)
Lydia Liao, Univ. of Rochester (United States)
Ralph Brasacchio, Univ. of Rochester (United States)
Edward Messing, Univ. of Rochester (United States)
Yan Yu, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?