Theoretical model for contrast-detail-detectability prediction in digital radiography

Hong Liu; Laurie L. Fajardo M.D.; Robin Baxter

doi:10.1117/12.238790

24 April 1996 Theoretical model for contrast-detail-detectability prediction in digital radiography

Hong Liu, Laurie L. Fajardo M.D., Robin Baxter

Proceedings Volume 2676, Biomedical Sensing, Imaging, and Tracking Technologies I; (1996) https://doi.org/10.1117/12.238790
Event: Photonics West '96, 1996, San Jose, CA, United States

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.

Citation Download Citation

Hong Liu, Laurie L. Fajardo M.D., and Robin Baxter "Theoretical model for contrast-detail-detectability prediction in digital radiography", Proc. SPIE 2676, Biomedical Sensing, Imaging, and Tracking Technologies I, (24 April 1996); https://doi.org/10.1117/12.238790

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