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Three-dimensional Bayesian reconstruction applied to cardiac SPECT

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3 Author(s)
Kudo, H. ; Inst. of Inf. Sci. & Electron., Tsukuba Univ., Japan ; Watanabe, S. ; Saito, T.

The conventional maximum a posteriori probability estimators for image reconstruction in emission tomography suffer from oversmoothing of boundaries. To overcome this drawback, the authors propose a fully 3-D Bayesian reconstruction algorithm based on the 3-D compound Gauss-Markov random field model. Furthermore, they apply this algorithm to cardiac SPECT data to demonstrate its validity

Published in:

Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE  (Volume:2 )

Date of Conference:

21-28 Oct 1995