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MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy
The report of the American Association of Physicists in Medicine (AAPM) Task Group No. 132 published in 2017 reviewed rigid image registration and deformable image registration (DIR) approaches and solutions to provide recommendations for quality assurance and quality control of clinical image regis...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239966/ https://www.ncbi.nlm.nih.gov/pubmed/35522369 http://dx.doi.org/10.1007/s13246-022-01125-3 |
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author | Lowther, Nicholas Louwe, Rob Yuen, Johnson Hardcastle, Nicholas Yeo, Adam Jameson, Michael |
author_facet | Lowther, Nicholas Louwe, Rob Yuen, Johnson Hardcastle, Nicholas Yeo, Adam Jameson, Michael |
author_sort | Lowther, Nicholas |
collection | PubMed |
description | The report of the American Association of Physicists in Medicine (AAPM) Task Group No. 132 published in 2017 reviewed rigid image registration and deformable image registration (DIR) approaches and solutions to provide recommendations for quality assurance and quality control of clinical image registration and fusion techniques in radiotherapy. However, that report did not include the use of DIR for advanced applications such as dose warping or warping of other matrices of interest. Considering that DIR warping tools are now readily available, discussions were hosted by the Medical Image Registration Special Interest Group (MIRSIG) of the Australasian College of Physical Scientists & Engineers in Medicine in 2018 to form a consensus on best practice guidelines. This position statement authored by MIRSIG endorses the recommendations of the report of AAPM task group 132 and expands on the best practice advice from the ‘Deforming to Best Practice’ MIRSIG publication to provide guidelines on the use of DIR for advanced applications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13246-022-01125-3. |
format | Online Article Text |
id | pubmed-9239966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-92399662022-06-30 MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy Lowther, Nicholas Louwe, Rob Yuen, Johnson Hardcastle, Nicholas Yeo, Adam Jameson, Michael Phys Eng Sci Med ACPSEM Position Paper The report of the American Association of Physicists in Medicine (AAPM) Task Group No. 132 published in 2017 reviewed rigid image registration and deformable image registration (DIR) approaches and solutions to provide recommendations for quality assurance and quality control of clinical image registration and fusion techniques in radiotherapy. However, that report did not include the use of DIR for advanced applications such as dose warping or warping of other matrices of interest. Considering that DIR warping tools are now readily available, discussions were hosted by the Medical Image Registration Special Interest Group (MIRSIG) of the Australasian College of Physical Scientists & Engineers in Medicine in 2018 to form a consensus on best practice guidelines. This position statement authored by MIRSIG endorses the recommendations of the report of AAPM task group 132 and expands on the best practice advice from the ‘Deforming to Best Practice’ MIRSIG publication to provide guidelines on the use of DIR for advanced applications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13246-022-01125-3. Springer International Publishing 2022-05-06 2022 /pmc/articles/PMC9239966/ /pubmed/35522369 http://dx.doi.org/10.1007/s13246-022-01125-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | ACPSEM Position Paper Lowther, Nicholas Louwe, Rob Yuen, Johnson Hardcastle, Nicholas Yeo, Adam Jameson, Michael MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy |
title | MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy |
title_full | MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy |
title_fullStr | MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy |
title_full_unstemmed | MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy |
title_short | MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy |
title_sort | mirsig position paper: the use of image registration and fusion algorithms in radiotherapy |
topic | ACPSEM Position Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239966/ https://www.ncbi.nlm.nih.gov/pubmed/35522369 http://dx.doi.org/10.1007/s13246-022-01125-3 |
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