BNCT束流参数测量多成像板探测器设计及优化

Abstract

Abstract: The beam quality of Boron Neutron Capture Therapy (BNCT) is a crucial factor affecting its therapeutic efficacy. In recent years, multi-imaging plate systems have attracted increasing attention for measuring BNCT beam parameters. In such systems, the thickness of the conversion layers plays a key role in determining measurement accuracy. This study applies a particle swarm optimization algorithm to optimize the conversion layer thicknesses. A Monte Carlo simulation is used to calculate the system’s response matrix at each step of iteration. The condition number of the response matrix is chosen as the optimization objective. Through iterative computations, the optimal thickness values are obtained. Based on these results, a physical interpretation is further provided, focusing on the range of secondary charged particles and the enhancement effects of the conversion layers on each imaging plate. The research findings offer important reference data for the development of multi-imaging plate detectors for BNCT beam characterization.

Key words: BNCT, multi-imaging plate, particle swarm optimization, beam parameter measurement, Monte Carol simulation

CLC Number:

R144.1

JIADELA Kuanibieke, ZHAO Ri, LI Deyuan, YAN Xuewen, CHEN Faguo, QIAO Zhaopeng, ZHANG Pengpeng, ZHANG Ke. Design and optimization of a multi-imaging plate detector for BNCT beam parameter measurement[J].RADIATION PROTECTION, 2025, 45(6): 609-618.

References

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Design and optimization of a multi-imaging plate detector for BNCT beam parameter measurement

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