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A Monte Carlo model of an agility head for a 10-MV photon beam

Turki Almatani, Richard Hugtenburg Orcid Logo, Artjoms Smakovs

Journal of Taibah University for Science, Volume: 16, Issue: 1, Pages: 300 - 307

Swansea University Author: Richard Hugtenburg Orcid Logo

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Abstract

Objective: Modelling linear accelerator (linac) photon beams using the Monte Carlo (MC) technique is presently the most precise technique with which to calculate radiotherapy beam data. Complicated treatment plans can be achieved by using the Agility multileaf collimator. The focus of this study is...

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Published in: Journal of Taibah University for Science
ISSN: 1658-3655
Published: Informa UK Limited 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa62051
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first_indexed 2022-12-12T13:03:55Z
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spelling 2022-12-12T13:08:19.9837539 v2 62051 2022-11-25 A Monte Carlo model of an agility head for a 10-MV photon beam efd2f52ea19cb047e01a01e6fa6fa54c 0000-0003-0352-9607 Richard Hugtenburg Richard Hugtenburg true false 2022-11-25 MEDP Objective: Modelling linear accelerator (linac) photon beams using the Monte Carlo (MC) technique is presently the most precise technique with which to calculate radiotherapy beam data. Complicated treatment plans can be achieved by using the Agility multileaf collimator. The focus of this study is to model a linac, integrated with an Agility head, using EGSnrc MC code and to investigate its accuracy compared with actual measurements. Methodology: A 10-MV photon beam from an Agility head installed in an Elekta Synergy linac was simulated using BEAMnrc MC code. Various incident electron energies were used to generate percentage depth dose curves for the MC model and were compared with measurements using gamma analysis (γ). Consequently, the focal spot with different full width half-maximums (FWHMs) was used to tune dose profiles. In addition, any differences in dose profiles were further minimized using different angular divergences. Results: The electron energy of 9.6 MeV was found to represent the best match with the measurements, where the γ pass rate was 100%. For dose profile comparisons, a circular focal spot with an FWHM of 0.45 cm and an angular divergence of 0.04∘ produced the best match with the measurements. Conclusion: The presented MC linac model integrated with an Agility head for a 10-MV photon beam can be reliably used for dose calculations. Journal Article Journal of Taibah University for Science 16 1 300 307 Informa UK Limited 1658-3655 Agility head; MC; BEAMnrc;DOSXYZnrc 31 12 2022 2022-12-31 10.1080/16583655.2022.2050097 COLLEGE NANME Medical Physics COLLEGE CODE MEDP Swansea University 2022-12-12T13:08:19.9837539 2022-11-25T17:21:53.4251309 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Turki Almatani 1 Richard Hugtenburg 0000-0003-0352-9607 2 Artjoms Smakovs 3 62051__26064__7176d1c0f6c2472cb3d750672ae69331.pdf 62051.pdf 2022-12-12T13:04:29.8583691 Output 1625971 application/pdf Version of Record true © 2022 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/4.0/
title A Monte Carlo model of an agility head for a 10-MV photon beam
spellingShingle A Monte Carlo model of an agility head for a 10-MV photon beam
Richard Hugtenburg
title_short A Monte Carlo model of an agility head for a 10-MV photon beam
title_full A Monte Carlo model of an agility head for a 10-MV photon beam
title_fullStr A Monte Carlo model of an agility head for a 10-MV photon beam
title_full_unstemmed A Monte Carlo model of an agility head for a 10-MV photon beam
title_sort A Monte Carlo model of an agility head for a 10-MV photon beam
author_id_str_mv efd2f52ea19cb047e01a01e6fa6fa54c
author_id_fullname_str_mv efd2f52ea19cb047e01a01e6fa6fa54c_***_Richard Hugtenburg
author Richard Hugtenburg
author2 Turki Almatani
Richard Hugtenburg
Artjoms Smakovs
format Journal article
container_title Journal of Taibah University for Science
container_volume 16
container_issue 1
container_start_page 300
publishDate 2022
institution Swansea University
issn 1658-3655
doi_str_mv 10.1080/16583655.2022.2050097
publisher Informa UK Limited
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
description Objective: Modelling linear accelerator (linac) photon beams using the Monte Carlo (MC) technique is presently the most precise technique with which to calculate radiotherapy beam data. Complicated treatment plans can be achieved by using the Agility multileaf collimator. The focus of this study is to model a linac, integrated with an Agility head, using EGSnrc MC code and to investigate its accuracy compared with actual measurements. Methodology: A 10-MV photon beam from an Agility head installed in an Elekta Synergy linac was simulated using BEAMnrc MC code. Various incident electron energies were used to generate percentage depth dose curves for the MC model and were compared with measurements using gamma analysis (γ). Consequently, the focal spot with different full width half-maximums (FWHMs) was used to tune dose profiles. In addition, any differences in dose profiles were further minimized using different angular divergences. Results: The electron energy of 9.6 MeV was found to represent the best match with the measurements, where the γ pass rate was 100%. For dose profile comparisons, a circular focal spot with an FWHM of 0.45 cm and an angular divergence of 0.04∘ produced the best match with the measurements. Conclusion: The presented MC linac model integrated with an Agility head for a 10-MV photon beam can be reliably used for dose calculations.
published_date 2022-12-31T04:21:22Z
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