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Proceedings Paper

Modeling observer performance for optimizing medical image acquisition and processing
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Paper Abstract

Medical images involve several steps of acquisition, processing, display, and reading to convey information from the body of a patient to a clinician who needs to decide on a course of action. The effect of all these steps is a large number of potentially coupled parameters that may need to be adjusted in order to optimize diagnostic task performance. Model observers were developed to assist this process by providing an objective computational tool that is predictive of visual performance. The defining characteristic of model observers is the generation of a decision variable from which the task is readily performed. Various models for generating the decision variable are reviewed, and various challenges and opportunities for model observers are described.

Paper Details

Date Published: 20 February 2012
PDF: 8 pages
Proc. SPIE 8291, Human Vision and Electronic Imaging XVII, 82910S (20 February 2012); doi: 10.1117/12.916457
Show Author Affiliations
Craig K. Abbey, Univ. of California, Santa Barbara (United States)
Miguel P. Eckstein, Univ. of California, Santa Barbara (United States)

Published in SPIE Proceedings Vol. 8291:
Human Vision and Electronic Imaging XVII
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder, Editor(s)

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