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Proceedings Paper

Stabilized estimates of Hotelling-observer detection performance in patient-structured noise
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Paper Abstract

This paper addresses the question of how to determine the performance of the optimum linear or Hotelling observer when only sample images are available. This observer is specified by a template from which a scalar test statistic is computed for each image. It is argued that estimation of the Hotelling template is analogous to problems in image reconstruction , where many difficulties can be avoided through judicious use of prior information. In the present problem, prior information is enforced by choice of the representation used for the template. We consider specifically a representation based on Laguerre-Gauss functions, and we discuss ways of estimating the coefficients in this expansion from sample images for the problem of detection of a known signal. The method is illustrated by two experiments, one based on simulated nonuniform fields called lumpy backgrounds, the other on real coronary angiograms.

Paper Details

Date Published: 21 April 1998
PDF: 17 pages
Proc. SPIE 3340, Medical Imaging 1998: Image Perception, (21 April 1998); doi: 10.1117/12.306181
Show Author Affiliations
Harrison H. Barrett, Health Sciences Ctr./Univ. of Arizona (United States)
Craig K. Abbey, Health Sciences Ctr./Univ. of Arizona (United States)
Brandon D. Gallas, Health Sciences Ctr./Univ. of Arizona (United States)
Miguel P. Eckstein, Cedars Sinai Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 3340:
Medical Imaging 1998: Image Perception
Harold L. Kundel, Editor(s)

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