Statistical differentiation between malignant and benign prostate lesions from ultrasound images

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

doi:10.1117/12.59475

1 June 1992 Statistical differentiation between malignant and benign prostate lesions from ultrasound images

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

Proceedings Volume 1652, Medical Imaging VI: Image Processing; (1992) https://doi.org/10.1117/12.59475
Event: Medical Imaging VI, 1992, Newport Beach, CA, United States

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%.

Citation Download Citation

Saganti B. Premkumar, A. Glen Houston, David E. Pitts, and Richard J. Babaian "Statistical differentiation between malignant and benign prostate lesions from ultrasound images", Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); https://doi.org/10.1117/12.59475

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