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Raped calculation of detectability in Bayesian SPECT
Yuxiang Xing; Gindi, G.;
Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
7-10 July 2002
Page(s):78
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81
Abstract:
To speed up the laborious process of optimizing and comparing SPECT imaging systems, computational methods using model observers can be used to predict human performance in the context of a lesion detection task. We address the case of SPECT images reconstructed by Bayesian MAP methods and the use of a channelized Hotelling observer (CHO) for a detection task. It is possible to write a closed-form theoretical expression to evaluate an image quality figure-of-merit (FOM) for this case. The evaluation of this FOM expression is intractably computationally intensive due, it turns out, to the nature of attenuation and depth-dependent blur in SPECT. We make several approximations that make this computation tractable, and validate our new expressions using Monte-Carlo simulations.
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