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Proceedings Paper

Statistical interpretation of texture for medical applications
Author(s): A. Glen Houston; Saganti B. Premkumar; David E. Pitts; Richard J. Babaian
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Paper Abstract

Findings from transrectal ultrasound examinations of the prostate are usually based on the echogenicity observed by visual interpretation of the ultrasound image. Hypoechoic areas are typically suspected to be cancerous. Previous studies have indicated that a high percentage (as high as 96%) of cancerous lesions are hypoechoic, but only a moderate percentage (about 50%) of hypoechoic regions are cancerous. We have been investigating statistical measures of texture of digitized ultrasound images of the prostate to assess whether improved accuracies can be achieved for diagnosing prostate cancer and for identifying cancerous lesions. This paper presents our approach as well as results obtained for 17 patients, eight non-cancerous and nine cancerous. The results of a small `blind test,' based on seven subjects, are also presented. Recently, a pathological mount of a prostate cross-section from a prostatectomy was selected as a test case for applying texture analysis to detect prostatic adenocarcinoma. The approach and results are described. The results of both studies are encouraging, but must be considered exploratory due to the small data sets. The results do provide support to the idea that texture information in the prostate is related to a structural change in the gland when carcinoma occurs.

Paper Details

Date Published: 26 June 1992
PDF: 9 pages
Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, (26 June 1992); doi: 10.1117/12.59586
Show Author Affiliations
A. Glen Houston, Univ. of Houston/Clear Lake (United States)
Saganti B. Premkumar, 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. 1660:
Biomedical Image Processing and Three-Dimensional Microscopy
Raj S. Acharya; Carol J. Cogswell; Dmitry B. Goldgof, Editor(s)

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