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

Authors
DEPIERRO AR
Citation
Ar. Depierro, A MODIFIED EXPECTATION MAXIMIZATION ALGORITHM FOR PENALIZED LIKELIHOOD ESTIMATION IN EMISSION TOMOGRAPHY, IEEE transactions on medical imaging, 14(1), 1995, pp. 132-137
Citations number
20
Categorie Soggetti
Engineering, Biomedical","Radiology,Nuclear Medicine & Medical Imaging
Journal title
IEEE transactions on medical imaging → ACNP
ISSN journal
02780062
Volume
14
Issue
1
Year of publication
1995
Pages
132 - 137
Database
ISI
SICI code
0278-0062(1995)14:1<132:AMEMAF>2.0.ZU;2-L
Abstract
The maximum likelihood (ML) expectation maximization (EM) approach in emission tomography has been very popular in medical imaging for sever al years. In spite of this, no satisfactory convergent modifications h ave been proposed for the regularized approach. In this paper, a modif ication of the EM algorithm is presented, The new method is a natural extension of the EM for maximizing likelihood with concave priors, Con vergence proofs are given.