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Remote sensing array (RSA) for linac beam monitoring
Robert Lauber1,2,3,4, Davide Brivio1, Erno Sajo3
1Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.
Physics in Medicine and Biology
|February 8, 2022
Summary
This study presents a novel real-time beam monitoring device for medical linear accelerators (linacs) that remotely senses beam properties like multileaf collimator positions and dose rate without beam attenuation.
Area of Science:
- Medical Physics
- Radiation Oncology
- Detector Physics
Background:
- Accurate real-time monitoring of medical linear accelerator (linac) beams is crucial for safe and effective radiation therapy.
- Current methods may involve beam attenuation or lack real-time feedback on critical parameters like multileaf collimator (MLC) positions and dose rate.
Purpose of the Study:
- To evaluate the feasibility of a novel, non-attenuating, real-time beam monitoring device for medical linacs.
- To develop a theoretical concept for a detector geometry and physical model capable of determining MLC leaf positions and dose rate in real time.
Main Methods:
- A detector concept using opposing electrode arrays to sense charge carriers generated by the linac beam was proposed.
- The Shockley-Ramo theorem and method of images were used to model charge carrier detection.
- A Least-Squares approach was employed to solve the inverse problem for determining beam parameters from measured signals.
- Radiation transport simulations (1D CEPXS/ONEDANT) quantified detector sensitivity.
Main Results:
- The theoretical model demonstrated the feasibility of remotely sensing MLC leaf positions with sub-millimeter accuracy (0.25–1 mm).
- Signal amplitudes were estimated in the fA to pA range for a 6 MV linac pulse.
- Detector response was found to be dependent on MLC field shape and leaf position.
Conclusions:
- A computationally feasible concept for a remote sensing detector capable of real-time measurement of linac beam parameters (MLC positions, dose rate) was demonstrated.
- Future work should focus on optimizing electrode geometry for enhanced sensitivity and improving reconstruction algorithms for greater accuracy.

