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Proceedings Paper

EM-MAP algorithm versus ARTUR: theoretical and practical comparisons
Author(s): Pierre Malick Koulibaly; P. Charbonnier; Michel Barlaud; J. Darcourt; Laure Blanc-Feraud
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Paper 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.

Paper Details

Date Published: 8 July 1994
PDF: 11 pages
Proc. SPIE 2299, Mathematical Methods in Medical Imaging III, (8 July 1994); doi: 10.1117/12.179260
Show Author Affiliations
Pierre Malick Koulibaly, Univ. de Nice-Sophia Antipolis (France)
P. Charbonnier, Univ. de Nice-Sophia Antipolis (France)
Michel Barlaud, Univ. de Nice-Sophia Antipolis (France)
J. Darcourt, Univ. de Nice-Sophia Antipolis (France)
Laure Blanc-Feraud, Univ. de Nice-Sophia Antipolis (France)


Published in SPIE Proceedings Vol. 2299:
Mathematical Methods in Medical Imaging III
Fred L. Bookstein; James S. Duncan; Nicholas Lange; David C. Wilson, Editor(s)

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