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Proceedings Paper

Megalopinakophobia: its symptoms and cures
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Paper 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.

Paper Details

Date Published: 28 June 2001
PDF: 9 pages
Proc. SPIE 4320, Medical Imaging 2001: Physics of Medical Imaging, (28 June 2001); doi: 10.1117/12.430869
Show Author Affiliations
Harrison H. Barrett, Univ. of Arizona and Optical Sciences Ctr./Univ. of Arizona (United States)
Kyle J. Myers, FDA Ctr. for Devices and Radiological Health (United States)
Brandon D. Gallas, Univ. of Arizona (United States)
Eric Clarkson, Univ. of Arizona and Optical Sciences Ctr./Univ. of Arizona (United States)
Hongbin Zhang, Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 4320:
Medical Imaging 2001: Physics of Medical Imaging
Larry E. Antonuk; Martin Joel Yaffe, Editor(s)

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