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Proceedings Article

Megalopinakophobia: its symptoms and cures

[+] Author Affiliations
Harrison H. Barrett, Eric Clarkson

Univ. of Arizona and Optical Sciences Ctr./Univ. of Arizona (USA)

Kyle J. Myers

FDA Ctr. for Devices and Radiological Health (USA)

Brandon D. Gallas, Hongbin Zhang

Univ. of Arizona (USA)

Proc. SPIE 4320, Medical Imaging 2001: Physics of Medical Imaging, 299 (June 28, 2001); doi:10.1117/12.430869
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From Conference Volume 4320

  • Medical Imaging 2001: Physics of Medical Imaging
  • Larry E. Antonuk; Martin J. Yaffe
  • San Diego, CA | February 17, 2001

abstract

This paper addresses issues in the calculation of a detectability measure for the ideal linear (Hotelling) observer performing a detection task on a digital radiograph. The main computational problem is that the inverse of a very large covariance matrix is required. The conventional approach is to assume some form of stationarity and argue that the matrix is diagonalized by discrete Fourier transformation, but there are many reasons why this assumption is unrealistic. After a brief review of the underlying mathematics, we present several practical algorithms for computing the detectability and some hints as to when each is applicable. The main conclusion is that large matrices should not be feared.

© (2001) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Harrison H. Barrett ; Kyle J. Myers ; Brandon D. Gallas ; Eric Clarkson and Hongbin Zhang
"Megalopinakophobia: its symptoms and cures", Proc. SPIE 4320, Medical Imaging 2001: Physics of Medical Imaging, 299 (June 28, 2001); doi:10.1117/12.430869; http://dx.doi.org/10.1117/12.430869


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