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
fDate :
3/1/1995 12:00:00 AM
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;
Journal_Title :
Medical Imaging, IEEE Transactions on
