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A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy
Uncertainties in the proton range in tissue during proton therapy limit the precision in treatment delivery. These uncertainties result in expanded treatment margins, thereby increasing radiation dose to healthy tissue. Real-time range verification techniques aim to reduce these uncertainties in ord...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376014/ https://www.ncbi.nlm.nih.gov/pubmed/30765808 http://dx.doi.org/10.1038/s41598-019-38611-w |
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author | Ytre-Hauge, Kristian Smeland Skjerdal, Kyrre Mattingly, John Meric, Ilker |
author_facet | Ytre-Hauge, Kristian Smeland Skjerdal, Kyrre Mattingly, John Meric, Ilker |
author_sort | Ytre-Hauge, Kristian Smeland |
collection | PubMed |
description | Uncertainties in the proton range in tissue during proton therapy limit the precision in treatment delivery. These uncertainties result in expanded treatment margins, thereby increasing radiation dose to healthy tissue. Real-time range verification techniques aim to reduce these uncertainties in order to take full advantage of the finite range of the primary protons. In this paper, we propose a novel concept for real-time range verification based on detection of secondary neutrons produced in nuclear interactions during proton therapy. The proposed detector concept is simple; consisting of a hydrogen-rich converter material followed by two charged particle tracking detectors, mimicking a proton recoil telescopic arrangement. Neutrons incident on the converter material are converted into protons through elastic and inelastic (n,p) interactions. The protons are subsequently detected in the tracking detectors. The information on the direction and position of these protons is then utilized in a new reconstruction algorithm to estimate the depth distribution of neutron production by the proton beam, which in turn is correlated with the primary proton range. In this paper, we present the results of a Monte Carlo feasibility study and show that the proposed concept could be used for real-time range verification with millimetric precision in proton therapy. |
format | Online Article Text |
id | pubmed-6376014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63760142019-02-19 A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy Ytre-Hauge, Kristian Smeland Skjerdal, Kyrre Mattingly, John Meric, Ilker Sci Rep Article Uncertainties in the proton range in tissue during proton therapy limit the precision in treatment delivery. These uncertainties result in expanded treatment margins, thereby increasing radiation dose to healthy tissue. Real-time range verification techniques aim to reduce these uncertainties in order to take full advantage of the finite range of the primary protons. In this paper, we propose a novel concept for real-time range verification based on detection of secondary neutrons produced in nuclear interactions during proton therapy. The proposed detector concept is simple; consisting of a hydrogen-rich converter material followed by two charged particle tracking detectors, mimicking a proton recoil telescopic arrangement. Neutrons incident on the converter material are converted into protons through elastic and inelastic (n,p) interactions. The protons are subsequently detected in the tracking detectors. The information on the direction and position of these protons is then utilized in a new reconstruction algorithm to estimate the depth distribution of neutron production by the proton beam, which in turn is correlated with the primary proton range. In this paper, we present the results of a Monte Carlo feasibility study and show that the proposed concept could be used for real-time range verification with millimetric precision in proton therapy. Nature Publishing Group UK 2019-02-14 /pmc/articles/PMC6376014/ /pubmed/30765808 http://dx.doi.org/10.1038/s41598-019-38611-w Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Ytre-Hauge, Kristian Smeland Skjerdal, Kyrre Mattingly, John Meric, Ilker A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy |
title | A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy |
title_full | A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy |
title_fullStr | A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy |
title_full_unstemmed | A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy |
title_short | A Monte Carlo feasibility study for neutron based real-time range verification in proton therapy |
title_sort | monte carlo feasibility study for neutron based real-time range verification in proton therapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376014/ https://www.ncbi.nlm.nih.gov/pubmed/30765808 http://dx.doi.org/10.1038/s41598-019-38611-w |
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