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Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction
BACKGROUND: Metal artifacts caused by high‐density implants lead to incorrectly reconstructed Hounsfield units in computed tomography images. This can result in a loss of accuracy in dose calculation in radiation therapy. This study investigates the potential of the metal artifact reduction algorith...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978555/ https://www.ncbi.nlm.nih.gov/pubmed/29664225 http://dx.doi.org/10.1002/acm2.12325 |
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author | Ziemann, Christian Stille, Maik Cremers, Florian Buzug, Thorsten M. Rades, Dirk |
author_facet | Ziemann, Christian Stille, Maik Cremers, Florian Buzug, Thorsten M. Rades, Dirk |
author_sort | Ziemann, Christian |
collection | PubMed |
description | BACKGROUND: Metal artifacts caused by high‐density implants lead to incorrectly reconstructed Hounsfield units in computed tomography images. This can result in a loss of accuracy in dose calculation in radiation therapy. This study investigates the potential of the metal artifact reduction algorithms, Augmented Likelihood Image Reconstruction and linear interpolation, in improving dose calculation in the presence of metal artifacts. MATERIALS AND METHODS: In order to simulate a pelvis with a double‐sided total endoprosthesis, a polymethylmethacrylate phantom was equipped with two steel bars. Artifacts were reduced by applying the Augmented Likelihood Image Reconstruction, a linear interpolation, and a manual correction approach. Using the treatment planning system Eclipse™, identical planning target volumes for an idealized prostate as well as structures for bladder and rectum were defined in corrected and noncorrected images. Volumetric modulated arc therapy plans have been created with double arc rotations with and without avoidance sectors that mask out the prosthesis. The irradiation plans were analyzed for variations in the dose distribution and their homogeneity. Dosimetric measurements were performed using isocentric positioned ionization chambers. RESULTS: Irradiation plans based on images containing artifacts lead to a dose error in the isocenter of up to 8.4%. Corrections with the Augmented Likelihood Image Reconstruction reduce this dose error to 2.7%, corrections with linear interpolation to 3.2%, and manual artifact correction to 4.1%. When applying artifact correction, the dose homogeneity was slightly improved for all investigated methods. Furthermore, the calculated mean doses are higher for rectum and bladder if avoidance sectors are applied. CONCLUSION: Streaking artifacts cause an imprecise dose calculation within irradiation plans. Using a metal artifact correction algorithm, the planning accuracy can be significantly improved. Best results were accomplished using the Augmented Likelihood Image Reconstruction algorithm. |
format | Online Article Text |
id | pubmed-5978555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59785552018-06-01 Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction Ziemann, Christian Stille, Maik Cremers, Florian Buzug, Thorsten M. Rades, Dirk J Appl Clin Med Phys Radiation Oncology Physics BACKGROUND: Metal artifacts caused by high‐density implants lead to incorrectly reconstructed Hounsfield units in computed tomography images. This can result in a loss of accuracy in dose calculation in radiation therapy. This study investigates the potential of the metal artifact reduction algorithms, Augmented Likelihood Image Reconstruction and linear interpolation, in improving dose calculation in the presence of metal artifacts. MATERIALS AND METHODS: In order to simulate a pelvis with a double‐sided total endoprosthesis, a polymethylmethacrylate phantom was equipped with two steel bars. Artifacts were reduced by applying the Augmented Likelihood Image Reconstruction, a linear interpolation, and a manual correction approach. Using the treatment planning system Eclipse™, identical planning target volumes for an idealized prostate as well as structures for bladder and rectum were defined in corrected and noncorrected images. Volumetric modulated arc therapy plans have been created with double arc rotations with and without avoidance sectors that mask out the prosthesis. The irradiation plans were analyzed for variations in the dose distribution and their homogeneity. Dosimetric measurements were performed using isocentric positioned ionization chambers. RESULTS: Irradiation plans based on images containing artifacts lead to a dose error in the isocenter of up to 8.4%. Corrections with the Augmented Likelihood Image Reconstruction reduce this dose error to 2.7%, corrections with linear interpolation to 3.2%, and manual artifact correction to 4.1%. When applying artifact correction, the dose homogeneity was slightly improved for all investigated methods. Furthermore, the calculated mean doses are higher for rectum and bladder if avoidance sectors are applied. CONCLUSION: Streaking artifacts cause an imprecise dose calculation within irradiation plans. Using a metal artifact correction algorithm, the planning accuracy can be significantly improved. Best results were accomplished using the Augmented Likelihood Image Reconstruction algorithm. John Wiley and Sons Inc. 2018-04-17 /pmc/articles/PMC5978555/ /pubmed/29664225 http://dx.doi.org/10.1002/acm2.12325 Text en © 2018 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Ziemann, Christian Stille, Maik Cremers, Florian Buzug, Thorsten M. Rades, Dirk Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction |
title | Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction |
title_full | Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction |
title_fullStr | Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction |
title_full_unstemmed | Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction |
title_short | Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction |
title_sort | improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978555/ https://www.ncbi.nlm.nih.gov/pubmed/29664225 http://dx.doi.org/10.1002/acm2.12325 |
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