Using a digital anatomical phantom to optimize an imaging system

Stephan Faris, Don Wilson, Harrison Barrett, Doug Dougherty, Gene Gindi, Ing Tsung Hsiao

Research output: Contribution to journalConference article

4 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)98-106
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3659
Issue numberI
StatePublished - Jan 1 1999
EventProceedings of the 1999 Medical Imaging - Physics of Medical Imaging - San Diego, CA, USA
Duration: Feb 21 1999Feb 23 1999

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ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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