Paper
28 May 1999 Using a digital anatomical phantom to optimize an imaging system
Stephan L. Faris, Donald W. Wilson, Harrison H. Barrett, Doug Dougherty, Gene R. Gindi, Ing-Tsung Hsiao
Author Affiliations +
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephan L. Faris, Donald W. Wilson, Harrison H. Barrett, Doug Dougherty, Gene R. Gindi, and Ing-Tsung Hsiao "Using a digital anatomical phantom to optimize an imaging system", Proc. SPIE 3659, Medical Imaging 1999: Physics of Medical Imaging, (28 May 1999); https://doi.org/10.1117/12.349565
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Tumors

Cameras

Imaging systems

Brain

Semiconductors

Single photon emission computed tomography

Fractal analysis

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