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...
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MDPI AG
2023-02-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/23/4/1799 |
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author | Jaap Velthuis Yutong Li Jordan Pritchard Chiara De Sio Lana Beck Richard Hugtenburg |
author_facet | Jaap Velthuis Yutong Li Jordan Pritchard Chiara De Sio Lana Beck Richard Hugtenburg |
author_sort | Jaap Velthuis |
collection | DOAJ |
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. |
first_indexed | 2024-03-11T08:11:30Z |
format | Article |
id | doaj.art-14c4a9faafcd40c8abbb4be6b72e75c2 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-11T08:11:30Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-14c4a9faafcd40c8abbb4be6b72e75c22023-11-16T23:06:19ZengMDPI AGSensors1424-82202023-02-01234179910.3390/s23041799Performance of a Full-Scale Upstream MAPS-Based Verification Device for RadiotherapyJaap Velthuis0Yutong Li1Jordan Pritchard2Chiara De Sio3Lana Beck4Richard Hugtenburg5School of Physics, University of Bristol, Bristol BS7 1TL, UKSchool of Physics, University of Bristol, Bristol BS7 1TL, UKSchool of Physics, University of Bristol, Bristol BS7 1TL, UKSchool of Physics, University of Bristol, Bristol BS7 1TL, UKSchool of Physics, University of Bristol, Bristol BS7 1TL, UKSchool of Physics, University of Bristol, Bristol BS7 1TL, UKIntensity-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.https://www.mdpi.com/1424-8220/23/4/1799X-ray detectorssolid-state detectorsradiation-hard detectorsimage processingdata processing methodsimage reconstruction in medical imaging |
spellingShingle | Jaap Velthuis Yutong Li Jordan Pritchard Chiara De Sio Lana Beck Richard Hugtenburg Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy Sensors X-ray detectors solid-state detectors radiation-hard detectors image processing data processing methods image reconstruction in medical imaging |
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 | X-ray detectors solid-state detectors radiation-hard detectors image processing data processing methods image reconstruction in medical imaging |
url | https://www.mdpi.com/1424-8220/23/4/1799 |
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