Perez-Lara, Maria L;
Khong, Jia C;
Cline, Ben D;
Poynter, Andrew;
Wilson, Matthew D;
Moss, Robert M;
(2024)
HEXITEC Detector Response to Complex Radiation Fields Applied to Proton Beam Therapy.
In:
2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
(pp. pp. 1-3).
IEEE: Milan, Italy.
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Abstract
The purpose of this study is to analyse the response of a single HEXITEC detector system when it is exposed to complex radiation fields such as proton beam therapy and evaluate its feasibility to tackle the uncertainty in the proton range via secondary particle detection. For the present research, experimental data is taken in a clinical proton beam therapy room at different nominal proton energies, where a water phantom is irradiated and a HEXITEC detector is placed on one side. The results of the detector output are compared with simulations performed on Geant4, which include additional information about the particles entering the detector such as particle type, kinetic energy and parent ID. The resulting comparison shows that the computational model can simulate the experimental data with a high level of accuracy. In terms of particle flux, there is a consistent agreement between simulation and experimental data. In addition, a relationship between experimental and modelled acquisition frames is achieved. Particle discrimination can be done by performing a cluster size analysis for each particle type.
| Type: | Proceedings paper |
|---|---|
| Title: | HEXITEC Detector Response to Complex Radiation Fields Applied to Proton Beam Therapy |
| Event: | 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) |
| Dates: | 5 Nov 2022 - 12 Nov 2022 |
| ISBN-13: | 978-1-6654-8872-3 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/NSS/MIC44845.2022.10399168 |
| Publisher version: | https://doi.org/10.1109/nss/mic44845.2022.10399168 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Protons; Particle beams; Uncertainty; Computational modeling; Medical treatment; Detectors; Data models |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10213566 |
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