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Proceedings Paper

Statistical differentiation between malignant and benign prostate lesions from ultrasound images
Author(s): Saganti B. Premkumar; A. Glen Houston; David E. Pitts; Richard J. Babaian
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Paper Abstract

Digitized transaxial sequential ultrasound images of the prostate are analyzed statistically and a methodology to distinguish malignant from benign prostate lesions is being developed. For a given stepwise planimetrical scan of the prostate, classification criteria for identifying benign and malignant lesions on the basis of the statistical variability measures is presented. Results obtained from applying the statistical variability measure approach to both cancerous (various grades) and non-cancerous (pathologically confirmed) hypoechoic ultrasound lesions of the prostate is described. The accuracy of the present statistical based image analysis to predict pathology from ultrasound images is 87%.

Paper Details

Date Published: 1 June 1992
PDF: 8 pages
Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); doi: 10.1117/12.59475
Show Author Affiliations
Saganti B. Premkumar, Univ. of Houston/Clear Lake (United States)
A. Glen Houston, Univ. of Houston/Clear Lake (United States)
David E. Pitts, NASA/Johnson Space Ctr. (United States)
Richard J. Babaian, Univ. of Texas M.D. Anderson Cancer Ctr. (United States)


Published in SPIE Proceedings Vol. 1652:
Medical Imaging VI: Image Processing
Murray H. Loew, Editor(s)

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