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Proceedings Paper

Using a digital anatomical phantom to optimize an imaging system
Author(s): Stephan L. Faris; Donald W. Wilson; Harrison H. Barrett; Doug Dougherty; Gene R. Gindi; Ing-Tsung Hsiao
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Paper Abstract

We seek to optimize a SPECT brain-imaging system for the task of detecting a small tumor located at random in the brain. To do so, we have created a computer model. The model includes three-dimensional, digital brain phantoms which can be quickly modified to simulate multiple patients. The phantoms are then projected geometrically through multiple pinholes. Our figure of merit is the Hotelling trace, a measure of detectability by the ideal linear observer. The Hotelling trace allows us to quantitatively measure a system's ability to perform a specific task. Because the Hotelling trace requires a large number of samples, we reduce the dimensionality of our images using Laguerre-Gauss functions as channels. To illustrate our method, we compare a system built from small high-resolution cameras to one utilizing larger, low-resolution cameras.

Paper Details

Date Published: 28 May 1999
PDF: 9 pages
Proc. SPIE 3659, Medical Imaging 1999: Physics of Medical Imaging, (28 May 1999); doi: 10.1117/12.349565
Show Author Affiliations
Stephan L. Faris, Health Sciences Ctr./Univ. of Arizona (United States)
Donald W. Wilson, Health Sciences Ctr./Univ. of Arizona (United States)
Harrison H. Barrett, Health Sciences Ctr./Univ. of Arizona (United States)
Doug Dougherty, SUNY/Stony Brook (United States)
Gene R. Gindi, SUNY/Stony Brook (United States)
Ing-Tsung Hsiao, SUNY/Stony Brook (Taiwan)


Published in SPIE Proceedings Vol. 3659:
Medical Imaging 1999: Physics of Medical Imaging
John M. Boone; James T. Dobbins, Editor(s)

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