A Statistical Approach To An Expert Diagnostic Ultrasonic System

Michael F. Insana; Robert F. Wagner; Brian S. Garra; Thomas H. Shawker

doi:10.1117/12.975373

12 June 1986 A Statistical Approach To An Expert Diagnostic Ultrasonic System

Michael F. Insana, Robert F. Wagner, Brian S. Garra, Thomas H. Shawker

Proceedings Volume 0626, Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems; (1986) https://doi.org/10.1117/12.975373
Event: Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems (PACS IV) for Medical Applications, 1986, Newport Beach, CA, United States

Abstract

The techniques of statistical pattern recognition are implemented to determine the best combination of tissue characterization parameters for maximizing the diagnostic accuracy of a given task. In this paper, we considered combinations of four ultrasonic tissue parameters to discriminate between normal liver and chronic hepatitis. The separation between normal and diseased samples was made by application of the Bayes test for minimum risk which minimizes the error rate for classifying tissue states while including the prior probability for the presence of disease and the cost of misclassification. Large differences in classification performance of various tissue parameter combinations were demonstrated by ROC analysis. The power of additional features to classify tissue states, even those derived from other imaging modalities, can be compared directly in this manner.

Citation Download Citation

Michael F. Insana, Robert F. Wagner, Brian S. Garra, and Thomas H. Shawker "A Statistical Approach To An Expert Diagnostic Ultrasonic System", Proc. SPIE 0626, Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems, (12 June 1986); https://doi.org/10.1117/12.975373

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