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Evaluation of a metal artifact reduction algorithm in CT studies used for proton radiotherapy treatment planning
Metal objects in the body such as hip prostheses cause artifacts in CT images. When CT images degraded by artifacts are used for treatment planning of radiotherapy, the artifacts can yield inaccurate dose calculations and, for particle beams, erroneous penetration depths. A metal artifact reduction...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711074/ https://www.ncbi.nlm.nih.gov/pubmed/25207572 http://dx.doi.org/10.1120/jacmp.v15i5.4857 |
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author | Andersson, Karin M. Ahnesjö, Anders Dahlgren, Christina Vallhagen |
author_facet | Andersson, Karin M. Ahnesjö, Anders Dahlgren, Christina Vallhagen |
author_sort | Andersson, Karin M. |
collection | PubMed |
description | Metal objects in the body such as hip prostheses cause artifacts in CT images. When CT images degraded by artifacts are used for treatment planning of radiotherapy, the artifacts can yield inaccurate dose calculations and, for particle beams, erroneous penetration depths. A metal artifact reduction software (O‐MAR) installed on a Philips Brilliance Big Bore CT has been tested for applications in treatment planning of proton radiotherapy. Hip prostheses mounted in a water phantom were used as test objects. Images without metal objects were acquired and used as reference data for the analysis of artifact‐affected regions outside of the metal objects in both the O‐MAR corrected and the uncorrected images. Water equivalent thicknesses (WET) based on proton stopping power data were calculated to quantify differences in the calculated proton beam penetration for the different image sets. The WET to a selected point of interest between the hip prostheses was calculated for several beam directions of clinical relevance. The results show that the calculated differences in WET relative to the reference case were decreased when the O‐MAR algorithm was applied. WET differences up to 2.0 cm were seen in the uncorrected case while, for the O‐MAR corrected case, the maximum difference was decreased to 0.4 cm. The O‐MAR algorithm can significantly improve the accuracy in proton range calculations. However, there are some residual effects, and the use of proton beam directions along artifact streaks should only be used with caution and appropriate margins. PACS numbers: 87.55.D‐, 87.57.cp |
format | Online Article Text |
id | pubmed-5711074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57110742018-04-02 Evaluation of a metal artifact reduction algorithm in CT studies used for proton radiotherapy treatment planning Andersson, Karin M. Ahnesjö, Anders Dahlgren, Christina Vallhagen J Appl Clin Med Phys Radiation Oncology Physics Metal objects in the body such as hip prostheses cause artifacts in CT images. When CT images degraded by artifacts are used for treatment planning of radiotherapy, the artifacts can yield inaccurate dose calculations and, for particle beams, erroneous penetration depths. A metal artifact reduction software (O‐MAR) installed on a Philips Brilliance Big Bore CT has been tested for applications in treatment planning of proton radiotherapy. Hip prostheses mounted in a water phantom were used as test objects. Images without metal objects were acquired and used as reference data for the analysis of artifact‐affected regions outside of the metal objects in both the O‐MAR corrected and the uncorrected images. Water equivalent thicknesses (WET) based on proton stopping power data were calculated to quantify differences in the calculated proton beam penetration for the different image sets. The WET to a selected point of interest between the hip prostheses was calculated for several beam directions of clinical relevance. The results show that the calculated differences in WET relative to the reference case were decreased when the O‐MAR algorithm was applied. WET differences up to 2.0 cm were seen in the uncorrected case while, for the O‐MAR corrected case, the maximum difference was decreased to 0.4 cm. The O‐MAR algorithm can significantly improve the accuracy in proton range calculations. However, there are some residual effects, and the use of proton beam directions along artifact streaks should only be used with caution and appropriate margins. PACS numbers: 87.55.D‐, 87.57.cp John Wiley and Sons Inc. 2014-09-08 /pmc/articles/PMC5711074/ /pubmed/25207572 http://dx.doi.org/10.1120/jacmp.v15i5.4857 Text en © 2014 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Andersson, Karin M. Ahnesjö, Anders Dahlgren, Christina Vallhagen Evaluation of a metal artifact reduction algorithm in CT studies used for proton radiotherapy treatment planning |
title | Evaluation of a metal artifact reduction algorithm in CT studies used for proton radiotherapy treatment planning |
title_full | Evaluation of a metal artifact reduction algorithm in CT studies used for proton radiotherapy treatment planning |
title_fullStr | Evaluation of a metal artifact reduction algorithm in CT studies used for proton radiotherapy treatment planning |
title_full_unstemmed | Evaluation of a metal artifact reduction algorithm in CT studies used for proton radiotherapy treatment planning |
title_short | Evaluation of a metal artifact reduction algorithm in CT studies used for proton radiotherapy treatment planning |
title_sort | evaluation of a metal artifact reduction algorithm in ct studies used for proton radiotherapy treatment planning |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5711074/ https://www.ncbi.nlm.nih.gov/pubmed/25207572 http://dx.doi.org/10.1120/jacmp.v15i5.4857 |
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