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Proceedings Paper

Statistical approach for detecting cancer lesions from prostate ultrasound images
Author(s): A. Glen Houston; Saganti B. Premkumar; Richard J. Babaian; David E. Pitts
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Paper Abstract

Sequential digitized cross-sectional ultrasound image planes of several prostates have been studied at the pixel level during the past year. The statistical distribution of gray scale values in terms of simple statistics, sample means and sample standard deviations, have been considered for estimating the differences between cross-sectional image planes of the gland due to the presence of cancer lesions. Based on a variability measure, the results for identifying the presence of cancer lesions in the peripheral zone of the gland for 25 blind test cases were found to be 64% accurate. This accuracy is higher than that obtained by visual photo interpretation of the image data, though not as high as our earlier results were indicating. Axial-view ultrasound image planes of prostate glands were obtained from the apex to the base of the gland at 2 mm intervals. Results for the 25 different prostate glands, which include pathologically confirmed benign and cancer cases, are presented.

Paper Details

Date Published: 29 July 1993
PDF: 5 pages
Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); doi: 10.1117/12.148679
Show Author Affiliations
A. Glen Houston, Univ. of Houston/Clear Lake (United States)
Saganti B. Premkumar, Univ. of Houston/Clear Lake (United States)
Richard J. Babaian, Univ. of Texas M.D. Anderson Cancer Ctr. (United States)
David E. Pitts, NASA Johnson Space Ctr. (United States)

Published in SPIE Proceedings Vol. 1905:
Biomedical Image Processing and Biomedical Visualization
Raj S. Acharya; Dmitry B. Goldgof, Editor(s)

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