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Proceedings Article

Barankin bound: a model of detection with location uncertainty

[+] Author Affiliations
Marie F. Kijewski

Harvard Medical School and Brigham and Women's Hospital (USA)

Stefan P. Mueller

Univ. Essen (Germany)

Stephen C. Moore

Worcester Polytechnic Institute (USA)

Proc. SPIE 1768, Mathematical Methods in Medical Imaging, 153 (December 9, 1992); doi:10.1117/12.130898
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From Conference Volume 1768

  • Mathematical Methods in Medical Imaging
  • David C. Wilson; Joseph N. Wilson
  • San Diego, CA | July 19, 1992

abstract

We have developed generalized ideal observer models relating human performance in detection tasks to physical properties of medical imaging systems, such as spatial resolution and noise power spectrum. Our approach treats detection as a special case of amplitude estimation, with certain other aspects of the signal, e.g., size or location, considered additional unknown parameters. The models are based on the Barankin lower bound on the precision with which the quantities of interest can be determined. We have found the Barankin bound to be particularly promising in predicting human performance in detection with location uncertainty. Its predictions differ from those of other proposed models in two respects. First, our results suggest that the degradation in performance due to location uncertainty depends on resolution. Second, we have shown analytically that for a given search area, the ratio of ideal observer performance when location is unknown to performance when location is known is nearly independent of signal size. This differs from previously proposed models which predict that the effect of location uncertainty depends on the ratio of signal size to search area, but agrees with the results of reported perceptual experiments testing this question.

© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Marie F. Kijewski ; Stefan P. Mueller and Stephen C. Moore
"Barankin bound: a model of detection with location uncertainty", Proc. SPIE 1768, Mathematical Methods in Medical Imaging, 153 (December 9, 1992); doi:10.1117/12.130898; http://dx.doi.org/10.1117/12.130898


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