Share Email Print
cover

Proceedings Paper

A Statistical Approach To An Expert Diagnostic Ultrasonic System
Author(s): Michael F. Insana; Robert F. Wagner; Brian S. Garra; Thomas H. Shawker
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 12 June 1986
PDF: 8 pages
Proc. SPIE 0626, Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems, (12 June 1986); doi: 10.1117/12.975373
Show Author Affiliations
Michael F. Insana, Food and Drug Administration (United States)
Robert F. Wagner, Food and Drug Administration (United States)
Brian S. Garra, National Institutes of Health (United States)
Thomas H. Shawker, National Institutes of Health (United States)


Published in SPIE Proceedings Vol. 0626:
Application of Optical Instrumentation in Medicine XIV and Picture Archiving and Communication Systems
Samuel J. Dwyer; Roger H. Schneider, Editor(s)

© SPIE. Terms of Use
Back to Top