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Proceedings Paper

Optimizing lens-coupled digital radiographic imaging systems based on model observers' performance
Author(s): Liying Chen; Harrison H. Barrett
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Paper Abstract

Recent advances in model observers that predict human perceptual performance now make it possible to optimize medical imaging systems for human task performance. We illustrate the procedure by considering the design of a lens for use in an optically coupled digital mammography system. The channelized Hotelling observer is used to model human performance, and the channels chose are differences of Gaussians (DOGs). The task is detection of a lesion at a random but known location in a clustered lumpy background mimicking breast tissue. The entire system is simulated with a Monte Carlo application according to the physics principles, but the main system component under study is the lens that couples a fluorescent screen to a CCD detector. The bigger the aperture is, the larger the portion of light is coupled to the CDD, but the more severe the aberrations are, so the worse the image blue is. So when changing the stop size, the signal (lesion) detectability of human observers associated with this task also changes. The SNR of the channelized Hotelling observer is used to quantify this detectability. In this paper, plots of channelized Hotelling SNR between coupling efficiency and blur in a task-based manner. In this way he channelized Hotelling SNR is used as a merit function for lens design.

Paper Details

Date Published: 22 May 2003
PDF: 8 pages
Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); doi: 10.1117/12.480331
Show Author Affiliations
Liying Chen, Optical Sciences Ctr./Univ. of Arizona (United States)
Harrison H. Barrett, Optical Sciences Ctr./Univ. of Arizona (United States)
Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 5034:
Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment
Dev P. Chakraborty; Elizabeth A. Krupinski, Editor(s)

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