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Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy
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Jordan Pritchard ,
Chiara De Sio ,
Lana Beck ,
Richard Hugtenburg
Sensors, Volume: 23, Issue: 4, Start page: 1799
Swansea University Authors:
Jaap Velthuis, Richard Hugtenburg
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Copyright: © 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
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DOI (Published version): 10.3390/s23041799
Abstract
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...
| Published in: | Sensors |
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| ISSN: | 1424-8220 |
| Published: |
MDPI AG
2023
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa67935 |
| Abstract: |
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. |
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| Keywords: |
X-ray detectors; solid-state detectors; radiation-hard detectors; image processing; data processing methods; image reconstruction in medical imaging; radiotherapy concepts; radiotherapy verification; radiotherapy monitoring; detector alignment and calibration; Multi Leaf Collimator (MLC); Monolithic Active Pixel Sensors (MAPS) |
| College: |
Faculty of Medicine, Health and Life Sciences |
| Funders: |
This research was funded by STFC and EPSRC through the IAA route. Jordan Pritchard received a scholarship from the EPSRC DTA. Yutong Li is funded by the Chinese Scholarship Council. |
| Issue: |
4 |
| Start Page: |
1799 |