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

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 1995年 / 14卷 / 01期

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

页码：132 / 137

页数：6

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