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Proceedings Paper

Automated techniques for quality assurance of radiological image modalities
Author(s): David J. Goodenough; Frank B. Atkins; Stephen M. Dyer
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Paper Abstract

This paper will attempt to identify many of the important issues for quality assurance (QA) of radiological modalities. It is of course to be realized that QA can span many aspects of the diagnostic decision making process. These issues range from physical image performance levels to and through the diagnostic decision of the radiologist. We will use as a model for automated approaches a program we have developed to work with computed tomography (CT) images. In an attempt to unburden the user, and in an effort to facilitate the performance of QA, we have been studying automated approaches. The ultimate utility of the system is its ability to render in a safe and efficacious manner, decisions that are accurate, sensitive, specific and which are possible within the economic constraints of modern health care delivery.

Paper Details

Date Published: 1 May 1991
PDF: 13 pages
Proc. SPIE 1444, Medical Imaging V: Image Capture, Formatting, and Display, (1 May 1991); doi: 10.1117/12.45159
Show Author Affiliations
David J. Goodenough, George Washington Univ. Hospital (United States)
Frank B. Atkins, George Washington Univ. Hospital (United States)
Stephen M. Dyer, The Institute for Radiological Image Sciences (United States)


Published in SPIE Proceedings Vol. 1444:
Medical Imaging V: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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