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Proceedings Paper

JPEG compression of ultrasound images and its effect in predicting pubic arch interference for prostrate brachytherapy
Author(s): Ken Haberman; Sayan Dev Pathak; Peter D. Grimm; Yongmin Kim
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Paper Abstract

Prostate brachytherapy is an effective treatment for localized prostate cancer. Recently, it has been shown that prior to surgery a transrectal ultrasound (TRUS) study of the prostate and pubic arch can effectively assess pubic arch interference (PAI), a major stumbling block for the brachytherapy procedure. This identification is currently being done with uncompressed digital images taken directly from the ultrasound (US) machine. However, since not all US machines allow access to the direct digital images, there is a need to perform TRUS based PAI detection using digitized images. For its clinical advantages, we have chosen to use a consumer video digitizer that saves images in the Joint Photographic Experts Group (JPEG) standard. In this paper, our goal is to assess whether, even with some loss of information due to JPEG compression, the degraded TRUS image is still viable for clinical assessment of PAI. This was accomplished by using a PAI assessment algorithm to predict the location of the pubic arch on both lossless uncompressed bitmap images and 11 degrees of lossy JPEG compressed images. The predicted locations of the arches were compared to each other and the true location of the arch. Our results show that there is no clinically significant difference in assessing PAI using images with medium-to-high JPEG compression compared to using uncompressed images.

Paper Details

Date Published: 18 April 2000
PDF: 11 pages
Proc. SPIE 3976, Medical Imaging 2000: Image Display and Visualization, (18 April 2000); doi: 10.1117/12.383082
Show Author Affiliations
Ken Haberman, Univ. of Washington (United States)
Sayan Dev Pathak, Univ. of Washington (United States)
Peter D. Grimm, Seattle Prostate Institute (United States)
Yongmin Kim, Univ. of Washington (United States)


Published in SPIE Proceedings Vol. 3976:
Medical Imaging 2000: Image Display and Visualization
Seong Ki Mun, Editor(s)

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