2015
DOI: 10.1002/mma.3508
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Convergence analysis of an accelerated expectation‐maximization algorithm for ill‐posed integral equations

Abstract: The maximum-likelihood expectation-maximization (EM) algorithm has attracted considerable interest in single-photon emission computed tomography, because it produces superior images in addition to be being flexible, simple, and allowing a physical interpretation. However, it often needs a large number of calculations because of the algorithm's slow rate of convergence. Therefore, there is a large body of literature concerning the EM algorithm's acceleration. One of the accelerated means is increasing an overre… Show more

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Cited by 5 publications
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“…Nowadays, the SPECT algorithms can be divided into analytical methods [4][5][6] and iterative techniques. [7][8][9][10][11] On one hand, the latter can exactly reconstruct the object-function image depending on nonuniform projection data, but the calculation is so huge and takes much longer time. Therefore, there is something defective in iterative techniques.…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, the SPECT algorithms can be divided into analytical methods [4][5][6] and iterative techniques. [7][8][9][10][11] On one hand, the latter can exactly reconstruct the object-function image depending on nonuniform projection data, but the calculation is so huge and takes much longer time. Therefore, there is something defective in iterative techniques.…”
Section: Introductionmentioning
confidence: 99%