A MODIFIED EXPECTATION MAXIMIZATION ALGORITHM FOR PENALIZED LIKELIHOOD ESTIMATION IN EMISSION TOMOGRAPHY

被引:329
作者
DEPIERRO, AR
机构
[1] Applied Mathematics Department, State University of Campinas, CP6065, 13081, Campinas, SP
关键词
D O I
10.1109/42.370409
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The maximum likelihood (ML) expectation maximization (EM) approach in emission tomography has been very popular in medical imaging for several years. In spite of this, no satisfactory convergent modifications have been proposed for the regularized approach. In this paper, a modification of the EM algorithm is presented, The new method is a natural extension of the EM for maximizing likelihood with concave priors, Convergence proofs are given.
引用
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页码:132 / 137
页数:6
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