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Proceedings Paper

Theoretical model for contrast-detail-detectability prediction in digital radiography
Author(s): Hong Liu; Laurie L. Fajardo; Robin Baxter
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Paper Abstract

This paper reports the results of our investigation into developing a theoretical model to predict the contrast-detail detectability in digital radiography. The equations presented in this paper are a continuation of our previous study on quasi-ideal observer signal-to-noise ratio and lesion detectability. In this project, numerical calculations were performed to determine contrast-detail curves of CCD and other x-ray imaging systems under clinical mammographic conditions. A contrast-detail phantom was imaged to validate the calculations predicted by our theoretical model. The experimental measurements were well predicted by the model's calculations. The theoretical model and the experimental techniques investigated in this research will help mammographers, scientists and engineers to optimize design trade-offs for emerging digital mammographic systems. It will also leverage efforts toward the development of practical techniques that can be performed at non-academic clinical sites, to quantitatively access the performance of new or existing digital radiography systems.

Paper Details

Date Published: 24 April 1996
PDF: 6 pages
Proc. SPIE 2676, Biomedical Sensing, Imaging, and Tracking Technologies I, (24 April 1996); doi: 10.1117/12.238790
Show Author Affiliations
Hong Liu, Univ. of Virginia (United States)
Laurie L. Fajardo, Univ. of Virginia (United States)
Robin Baxter, Univ. of Virginia (United States)


Published in SPIE Proceedings Vol. 2676:
Biomedical Sensing, Imaging, and Tracking Technologies I
Robert A. Lieberman; Halina Podbielska; Tuan Vo-Dinh, Editor(s)

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