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The fast calibration model for dosimetry with an electronic portal imaging device

PURPOSE: The aim of this study was to develop an algorithm that corrects the image of an electronic portal imaging device (EPID) of a linear accelerator so that it can be used for dosimetric purposes, such as in vivo dosimetry or quality assurance for photon radiotherapy. For that purpose, the impac...

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Autores principales: Schade, Stephanie, Engenhart‐Cabillic, Rita, Zink, Klemens, Czarnecki, Damian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680584/
https://www.ncbi.nlm.nih.gov/pubmed/35876832
http://dx.doi.org/10.1002/acm2.13599
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author Schade, Stephanie
Engenhart‐Cabillic, Rita
Zink, Klemens
Czarnecki, Damian
author_facet Schade, Stephanie
Engenhart‐Cabillic, Rita
Zink, Klemens
Czarnecki, Damian
author_sort Schade, Stephanie
collection PubMed
description PURPOSE: The aim of this study was to develop an algorithm that corrects the image of an electronic portal imaging device (EPID) of a linear accelerator so that it can be used for dosimetric purposes, such as in vivo dosimetry or quality assurance for photon radiotherapy. For that purpose, the impact of the field size, phantom thickness, and the varying spectral photon distribution within the irradiation field on the EPID image was investigated. METHODS: The EPID measurements were verified using reference measurements with ionization chambers. Therefore, absolute dose measurements with an ionization chamber and relative dose measurements with a detector array were performed. An EPID calibration and correction algorithm was developed to convert the EPID image to a dose distribution. The algorithm was validated by irradiating inhomogeneous phantoms using square fields as well as irregular IMRT fields. RESULTS: It was possible to correct the influence of the field size, phantom thickness on the EPID signal as well as the homogenization of the image profile by several correction factors within 0.6%. A gamma index analysis (3%, 3 mm) of IMRT fields showed a pass rate of above 99%, when comparing to the planning system. CONCLUSION: The developed algorithm enables an online dose measurement with the EPID during the radiation treatment. The algorithm is characterized by a robust, non‐iterative, and thus real‐time capable procedure with little measuring effort and does not depend on system‐specific parameters. The EPID image is corrected by multiplying three independent correction factors. Therefore, it can easily be extent by further correction factors for other influencing variables, so it can be transferred to other linear accelerators and EPID configurations.
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spelling pubmed-96805842022-11-23 The fast calibration model for dosimetry with an electronic portal imaging device Schade, Stephanie Engenhart‐Cabillic, Rita Zink, Klemens Czarnecki, Damian J Appl Clin Med Phys Radiation Oncology Physics PURPOSE: The aim of this study was to develop an algorithm that corrects the image of an electronic portal imaging device (EPID) of a linear accelerator so that it can be used for dosimetric purposes, such as in vivo dosimetry or quality assurance for photon radiotherapy. For that purpose, the impact of the field size, phantom thickness, and the varying spectral photon distribution within the irradiation field on the EPID image was investigated. METHODS: The EPID measurements were verified using reference measurements with ionization chambers. Therefore, absolute dose measurements with an ionization chamber and relative dose measurements with a detector array were performed. An EPID calibration and correction algorithm was developed to convert the EPID image to a dose distribution. The algorithm was validated by irradiating inhomogeneous phantoms using square fields as well as irregular IMRT fields. RESULTS: It was possible to correct the influence of the field size, phantom thickness on the EPID signal as well as the homogenization of the image profile by several correction factors within 0.6%. A gamma index analysis (3%, 3 mm) of IMRT fields showed a pass rate of above 99%, when comparing to the planning system. CONCLUSION: The developed algorithm enables an online dose measurement with the EPID during the radiation treatment. The algorithm is characterized by a robust, non‐iterative, and thus real‐time capable procedure with little measuring effort and does not depend on system‐specific parameters. The EPID image is corrected by multiplying three independent correction factors. Therefore, it can easily be extent by further correction factors for other influencing variables, so it can be transferred to other linear accelerators and EPID configurations. John Wiley and Sons Inc. 2022-07-25 /pmc/articles/PMC9680584/ /pubmed/35876832 http://dx.doi.org/10.1002/acm2.13599 Text en © 2022 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://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
Schade, Stephanie
Engenhart‐Cabillic, Rita
Zink, Klemens
Czarnecki, Damian
The fast calibration model for dosimetry with an electronic portal imaging device
title The fast calibration model for dosimetry with an electronic portal imaging device
title_full The fast calibration model for dosimetry with an electronic portal imaging device
title_fullStr The fast calibration model for dosimetry with an electronic portal imaging device
title_full_unstemmed The fast calibration model for dosimetry with an electronic portal imaging device
title_short The fast calibration model for dosimetry with an electronic portal imaging device
title_sort fast calibration model for dosimetry with an electronic portal imaging device
topic Radiation Oncology Physics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680584/
https://www.ncbi.nlm.nih.gov/pubmed/35876832
http://dx.doi.org/10.1002/acm2.13599
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