Weighted expectation maximization reconstruction algorithms with application to gated megavoltage tomography Journal Article


Authors: Zhang, J.; Shi, D.; Anastasio, M. A.; Sillanpaa, J.; Chang, J.
Article Title: Weighted expectation maximization reconstruction algorithms with application to gated megavoltage tomography
Abstract: We propose and investigate weighted expectation maximization (EM) algorithms for image reconstruction in x-ray tomography. The development of the algorithms is motivated by the respiratory-gated megavoltage tomography problem, in which the acquired asymmetric cone-beam projections are limited in number and unevenly sampled over view angle. In these cases, images reconstructed by use of the conventional EM algorithm can contain ring- and streak-like artefacts that are attributable to a combination of data inconsistencies and truncation of the projection data. By use of computer-simulated and clinical gated fan-beam megavoltage projection data, we demonstrate that the proposed weighted EM algorithms effectively mitigate such image artefacts. © 2005 IOP Publishing Ltd.
Keywords: algorithms; algorithm; tomography; models, statistical; pattern recognition, automated; computer simulation; problem solving; phantoms, imaging; image processing, computer-assisted; software; artifacts; image reconstruction; radiographic image interpretation, computer-assisted; optimization; x ray analysis; megavoltage radiation; voltage control; cone-beams; respiratory-gated megavoltage tomography; weighted expectation maximization; x-ray tomography; tomography, x-ray
Journal Title: Physics in Medicine and Biology
Volume: 50
Issue: 21
ISSN: 0031-9155
Publisher: IOP Publishing Ltd  
Date Published: 2005-11-07
Start Page: N299
End Page: N307
Language: English
DOI: 10.1088/0031-9155/50/21/n02
PUBMED: 16237229
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 4" - "Export Date: 24 October 2012" - "CODEN: PHMBA" - "Source: Scopus"
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  1. Jenghwa Chang
    63 Chang