Paper
8 July 1994 EM-MAP algorithm versus ARTUR: theoretical and practical comparisons
Pierre Malick Koulibaly, P. Charbonnier, Michel Barlaud, J. Darcourt, Laure Blanc-Feraud
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Abstract
A new algorithm for SPECT reconstruction called ARTUR is proposed, which uses a Bayesian approach toward the maximum a posteriori estimator. It preserves discontinuities in the image by the use of regularization. We propose to compare it with one of the regularized version of the iterative method commonly employed in SPECT i.e. the maximum a posteriori expectation maximization one step late method, developed by Green.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pierre Malick Koulibaly, P. Charbonnier, Michel Barlaud, J. Darcourt, and Laure Blanc-Feraud "EM-MAP algorithm versus ARTUR: theoretical and practical comparisons", Proc. SPIE 2299, Mathematical Methods in Medical Imaging III, (8 July 1994); https://doi.org/10.1117/12.179260
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Cited by 1 scholarly publication.
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KEYWORDS
Expectation maximization algorithms

Reconstruction algorithms

Single photon emission computed tomography

Algorithms

Photons

Signal to noise ratio

Statistical analysis

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