Statistical approach for detecting cancer lesions from prostate ultrasound images

A. Glen Houston; Saganti B. Premkumar; Richard J. Babaian; David E. Pitts

doi:10.1117/12.148679

29 July 1993 Statistical approach for detecting cancer lesions from prostate ultrasound images

A. Glen Houston, Saganti B. Premkumar, Richard J. Babaian, David E. Pitts

Proceedings Volume 1905, Biomedical Image Processing and Biomedical Visualization; (1993) https://doi.org/10.1117/12.148679
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

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.

Citation Download Citation

A. Glen Houston, Saganti B. Premkumar, Richard J. Babaian, and David E. Pitts "Statistical approach for detecting cancer lesions from prostate ultrasound images", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); https://doi.org/10.1117/12.148679

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