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A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors

by: T. Hebert, R. Leahy
Medical Imaging, IEEE Transactions on, Vol. 8, No. 2. (June 1989), pp. 194-202, doi:10.1109/42.24868  Key: citeulike:11387231

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Abstract

A generalized expectation-maximization (GEM) algorithm is developed for Bayesian reconstruction, based on locally correlated Markov random-field priors in the form of Gibbs functions and on the Poisson data model. For the


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