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Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers
We are implementing the use of magnetic resonance (MR) images for head and neck radiotherapy planning, which involves their registration with computed tomography (CT). The quality assurance (QA) of the registration process was an initial step of this program. A phantom was built, and appropriate mat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5723443/ https://www.ncbi.nlm.nih.gov/pubmed/15753931 http://dx.doi.org/10.1120/jacmp.v5i1.1951 |
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author | Moore, Craig S. Liney, Gary P. Beavis, Andrew W. |
author_facet | Moore, Craig S. Liney, Gary P. Beavis, Andrew W. |
author_sort | Moore, Craig S. |
collection | PubMed |
description | We are implementing the use of magnetic resonance (MR) images for head and neck radiotherapy planning, which involves their registration with computed tomography (CT). The quality assurance (QA) of the registration process was an initial step of this program. A phantom was built, and appropriate materials were identified to produce clinically relevant MR [Formula: see text] and [Formula: see text] contrast for its constituent “anatomy.” We performed a characterization of the distortion detectable within our phantom. Finally, we assessed the accuracy of image registration by contouring structures in the registered/fused data sets using the treatment planning system. Each structure was contoured using each modality, in turn, blind of the other. The position, area, and perimeter of each structure were assessed as a measure of accuracy of the entire image registration process. Distortion effects in the MR image were shown to be minimized by choosing a suitable [Formula: see text] receiver bandwidth. Remaining distortion was deemed clinically acceptable within [Formula: see text] of the magnetic field isocenter. A coefficient of agreement (A) analysis gave values to be within 9% of unity, where [Formula: see text] is the ratio of the area/perimeter of a particular structure on CT to that on MR. The center of each structure of interest agreed to within 1.8 mm. A QA process has been developed to assess the accuracy of using multimodality image registration in the planning of radiotherapy for the head and neck; we believe its introduction is feasible and safe. PACS numbers: 87.53.Xd, 87.57.Gg, 87.59.Fm; 87.61.‐c, 87.66.Xa |
format | Online Article Text |
id | pubmed-5723443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-57234432018-04-02 Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers Moore, Craig S. Liney, Gary P. Beavis, Andrew W. J Appl Clin Med Phys Radiation Oncology Physics We are implementing the use of magnetic resonance (MR) images for head and neck radiotherapy planning, which involves their registration with computed tomography (CT). The quality assurance (QA) of the registration process was an initial step of this program. A phantom was built, and appropriate materials were identified to produce clinically relevant MR [Formula: see text] and [Formula: see text] contrast for its constituent “anatomy.” We performed a characterization of the distortion detectable within our phantom. Finally, we assessed the accuracy of image registration by contouring structures in the registered/fused data sets using the treatment planning system. Each structure was contoured using each modality, in turn, blind of the other. The position, area, and perimeter of each structure were assessed as a measure of accuracy of the entire image registration process. Distortion effects in the MR image were shown to be minimized by choosing a suitable [Formula: see text] receiver bandwidth. Remaining distortion was deemed clinically acceptable within [Formula: see text] of the magnetic field isocenter. A coefficient of agreement (A) analysis gave values to be within 9% of unity, where [Formula: see text] is the ratio of the area/perimeter of a particular structure on CT to that on MR. The center of each structure of interest agreed to within 1.8 mm. A QA process has been developed to assess the accuracy of using multimodality image registration in the planning of radiotherapy for the head and neck; we believe its introduction is feasible and safe. PACS numbers: 87.53.Xd, 87.57.Gg, 87.59.Fm; 87.61.‐c, 87.66.Xa John Wiley and Sons Inc. 2004-05-25 /pmc/articles/PMC5723443/ /pubmed/15753931 http://dx.doi.org/10.1120/jacmp.v5i1.1951 Text en © 2004 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 Moore, Craig S. Liney, Gary P. Beavis, Andrew W. Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers |
title | Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers |
title_full | Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers |
title_fullStr | Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers |
title_full_unstemmed | Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers |
title_short | Quality assurance of registration of CT and MRI data sets for treatment planning of radiotherapy for head and neck cancers |
title_sort | quality assurance of registration of ct and mri data sets for treatment planning of radiotherapy for head and neck cancers |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5723443/ https://www.ncbi.nlm.nih.gov/pubmed/15753931 http://dx.doi.org/10.1120/jacmp.v5i1.1951 |
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