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Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy
Intensity-modulated radiotherapy is a widely used technique for accurately targeting cancerous tumours in difficult locations using dynamically shaped beams. This is ideally accompanied by real-time independent verification. Monolithic active pixel sensors are a viable candidate for providing upstre...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960806/ https://www.ncbi.nlm.nih.gov/pubmed/36850398 http://dx.doi.org/10.3390/s23041799 |
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author | Velthuis, Jaap Li, Yutong Pritchard, Jordan De Sio, Chiara Beck, Lana Hugtenburg, Richard |
author_facet | Velthuis, Jaap Li, Yutong Pritchard, Jordan De Sio, Chiara Beck, Lana Hugtenburg, Richard |
author_sort | Velthuis, Jaap |
collection | PubMed |
description | Intensity-modulated radiotherapy is a widely used technique for accurately targeting cancerous tumours in difficult locations using dynamically shaped beams. This is ideally accompanied by real-time independent verification. Monolithic active pixel sensors are a viable candidate for providing upstream beam monitoring during treatment. We have already demonstrated that a Monolithic Active Pixel Sensor (MAPS)-based system can fulfill all clinical requirements except for the minimum required size. Here, we report the performance of a large-scale demonstrator system consisting of a matrix of 2 × 2 sensors, which is large enough to cover almost all radiotherapy treatment fields when affixed to the shadow tray of the LINAC head. When building a matrix structure, a small dead area is inevitable. Here, we report that with a newly developed position algorithm, leaf positions can be reconstructed over the entire range with a position resolution of below ∼200 μm in the centre of the sensor, which worsens to just below 300 μm in the middle of the gap between two sensors. A leaf position resolution below 300 μm results in a dose error below 2%, which is good enough for clinical deployment. |
format | Online Article Text |
id | pubmed-9960806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99608062023-02-26 Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy Velthuis, Jaap Li, Yutong Pritchard, Jordan De Sio, Chiara Beck, Lana Hugtenburg, Richard Sensors (Basel) Article Intensity-modulated radiotherapy is a widely used technique for accurately targeting cancerous tumours in difficult locations using dynamically shaped beams. This is ideally accompanied by real-time independent verification. Monolithic active pixel sensors are a viable candidate for providing upstream beam monitoring during treatment. We have already demonstrated that a Monolithic Active Pixel Sensor (MAPS)-based system can fulfill all clinical requirements except for the minimum required size. Here, we report the performance of a large-scale demonstrator system consisting of a matrix of 2 × 2 sensors, which is large enough to cover almost all radiotherapy treatment fields when affixed to the shadow tray of the LINAC head. When building a matrix structure, a small dead area is inevitable. Here, we report that with a newly developed position algorithm, leaf positions can be reconstructed over the entire range with a position resolution of below ∼200 μm in the centre of the sensor, which worsens to just below 300 μm in the middle of the gap between two sensors. A leaf position resolution below 300 μm results in a dose error below 2%, which is good enough for clinical deployment. MDPI 2023-02-06 /pmc/articles/PMC9960806/ /pubmed/36850398 http://dx.doi.org/10.3390/s23041799 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Velthuis, Jaap Li, Yutong Pritchard, Jordan De Sio, Chiara Beck, Lana Hugtenburg, Richard Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy |
title | Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy |
title_full | Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy |
title_fullStr | Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy |
title_full_unstemmed | Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy |
title_short | Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy |
title_sort | performance of a full-scale upstream maps-based verification device for radiotherapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9960806/ https://www.ncbi.nlm.nih.gov/pubmed/36850398 http://dx.doi.org/10.3390/s23041799 |
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