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Performance of a Full-Scale Upstream MAPS-Based Verification Device for Radiotherapy.
Jaap Velthuis1,2,3, Yutong Li1, Jordan Pritchard1
1School of Physics, University of Bristol, Bristol BS7 1TL, UK.
Sensors (Basel, Switzerland)
|February 28, 2023
Summary
A new large-scale Monolithic Active Pixel Sensor (MAPS) system provides real-time radiotherapy beam monitoring. Its advanced algorithms achieve high resolution, ensuring clinical accuracy for improved cancer treatment verification.
Area of Science:
- Medical Physics
- Radiation Oncology
- Detector Technology
Background:
- Intensity-modulated radiotherapy (IMRT) requires precise beam shaping for accurate tumor targeting.
- Real-time, independent verification of radiation beams is crucial for safe and effective IMRT.
- Monolithic Active Pixel Sensors (MAPS) show promise for upstream beam monitoring during radiotherapy.
Purpose of the Study:
- To evaluate the performance of a large-scale MAPS demonstrator system for real-time radiotherapy beam monitoring.
- To assess the feasibility of using a 2x2 MAPS matrix to cover typical radiotherapy treatment fields.
- To develop and validate a position algorithm for reconstructing leaf positions across the sensor matrix.
Main Methods:
- Construction of a 2x2 matrix of MAPS, designed to fit on a LINAC shadow tray.
- Implementation of a novel position algorithm to reconstruct leaf positions from sensor data.
- Measurement of position resolution across the sensor matrix, including areas between sensors.
- Estimation of dose error based on the achieved leaf position resolution.
Main Results:
- The 2x2 MAPS matrix is sufficiently large to cover most radiotherapy treatment fields.
- A newly developed position algorithm achieves a position resolution below ~200 μm in sensor centers.
- Position resolution degrades to just below 300 μm in the gaps between sensors.
- The achieved leaf position resolution leads to an estimated dose error below 2%.
Conclusions:
- The large-scale MAPS demonstrator system meets clinical requirements for real-time radiotherapy beam monitoring.
- The developed position algorithm effectively reconstructs leaf positions, even across sensor gaps.
- The system's performance, with a dose error below 2%, is suitable for clinical deployment in IMRT.
Keywords:
Monolithic Active Pixel Sensors (MAPS)Multi Leaf Collimator (MLC)X-ray detectorsdata processing methodsdetector alignment and calibrationimage processingimage reconstruction in medical imagingradiation-hard detectorsradiotherapy conceptsradiotherapy monitoringradiotherapy verificationsolid-state detectors
