Modeling observer performance for optimizing medical image acquisition and processing

Craig K. Abbey; Miguel P. Eckstein

doi:10.1117/12.916457

20 February 2012 Modeling observer performance for optimizing medical image acquisition and processing

Craig K. Abbey, Miguel P. Eckstein

Proceedings Volume 8291, Human Vision and Electronic Imaging XVII; 82910S (2012) https://doi.org/10.1117/12.916457
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

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.

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Craig K. Abbey and Miguel P. Eckstein "Modeling observer performance for optimizing medical image acquisition and processing", Proc. SPIE 8291, Human Vision and Electronic Imaging XVII, 82910S (20 February 2012); https://doi.org/10.1117/12.916457

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KEYWORDS

Performance modeling

Image processing

Medical imaging

Visual process modeling

Data modeling

Contrast sensitivity

Eye models

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