Weighted expectation maximization reconstruction algorithms with application to gated megavoltage tomography
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 num...
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| Vydáno v: | Physics in medicine & biology Ročník 50; číslo 21; s. N299 |
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| Jazyk: | angličtina |
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England
07.11.2005
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| ISSN: | 0031-9155 |
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| 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. |
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| AbstractList | 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. 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.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. |
| Author | Chang, Jenghwa Shi, Daxin Anastasio, Mark A Zhang, Jin Sillanpaa, Jussi |
| Author_xml | – sequence: 1 givenname: Jin surname: Zhang fullname: Zhang, Jin organization: Department of Biomedical Engineering, Illinois Institute of Technology, 10 West 32nd Street, E1-116, Chicago, IL 60616, USA – sequence: 2 givenname: Daxin surname: Shi fullname: Shi, Daxin – sequence: 3 givenname: Mark A surname: Anastasio fullname: Anastasio, Mark A – sequence: 4 givenname: Jussi surname: Sillanpaa fullname: Sillanpaa, Jussi – sequence: 5 givenname: Jenghwa surname: Chang fullname: Chang, Jenghwa |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/16237229$$D View this record in MEDLINE/PubMed |
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| Snippet | We propose and investigate weighted expectation maximization (EM) algorithms for image reconstruction in x-ray tomography. The development of the algorithms is... |
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| SubjectTerms | Algorithms Computer Simulation Humans Image Processing, Computer-Assisted - methods Models, Statistical Pattern Recognition, Automated Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted - methods Software Tomography, X-Ray - methods |
| Title | Weighted expectation maximization reconstruction algorithms with application to gated megavoltage tomography |
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