DocumentCode
749179
Title
A modified expectation maximization algorithm for penalized likelihood estimation in emission tomography
Author
De Pierro, Alvaro R.
Author_Institution
Dept. Appl. Math., State Univ. of Campinas, Brazil
Volume
14
Issue
1
fYear
1995
fDate
3/1/1995 12:00:00 AM
Firstpage
132
Lastpage
137
Abstract
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. Here, 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
Keywords
emission tomography; image reconstruction; medical image processing; concave priors; convergence proofs; diagnostic nuclear medicine; emission tomography; medical diagnostic imaging; modified expectation maximization algorithm; penalized likelihood estimation; regularized approach; Biomedical imaging; Computed tomography; Convergence; Electrical capacitance tomography; Image reconstruction; Isotopes; Maximum likelihood detection; Maximum likelihood estimation; Positron emission tomography; Single photon emission computed tomography;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/42.370409
Filename
370409
Link To Document