质子放射治疗中实时Bragg峰跟踪的优化提示伽马探测策略研究

M. Zarifi, Y. Qi, S. Guatelli, Brian Hutton, Amir Rosenfeld
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引用次数: 1

摘要

来自质子辐射的即时伽马(PG)射线信号已被提出用于体内光束范围验证,以提供质子治疗(PT)输送过程中Bragg峰值(BP)的独特实时跟踪。在本研究中,我们探讨了优化质子放射治疗中BP跟踪的PG检测的可能策略。利用Geant4蒙特卡罗(MC)模拟研究了200 MeV质子铅笔束水和PMMA幻象辐照下PG发射信号的能谱、空间和时间特征。这包括它们与BP的位置和质子束产生的中子场背景的关系。进而确定PG成像检测的最佳能量窗、角窗和定时窗。我们的研究结果表明,在4.44 MeV附近可能存在检测PG的最佳能量窗口。PG发射表现出向后的角偏好,而中子发射则表现出正向的角偏好。此外,采用定时窗可以进一步提高PG信号对中子强背景干扰的检测能力。能量和时间分辨PG检测都是很有前途的解决方案。这些结果表明,可能存在一种优化的PG信号检测策略。利用适当的能量窗、角窗和定时窗,可以显著改善BP跟踪中PG图像的形成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigation of optimized prompt gamma detection strategy for real-time Bragg Peak tracking in proton radiation therapy
Prompt gamma (PG) ray signal from proton radiation has been proposed for in vivo beam range verification to provide unique real-time tracking of the Bragg Peak (BP) during proton therapy (PT) delivery. In this study, we investigate possible strategies to optimize PG detection for BP tracking in proton radiation therapy. Extensive Geant4 Monte Carlo (MC) simulations have been used to study the energy spectral, spatial and timing characteristics of PG emission signal from 200 MeV proton pencil beam irradiations with water and PMMA phantoms. These include their relationship with the position of the BP and the background of the neutron field originated by the proton beams. Then the optimal energy window, angular window and timing window for PG imaging detection can be determined. Our results show that there could exist an optimal energy window for PG detection around 4.44 MeV. PG emissions show a backward angular preference while neutron emissions have a forward angular preference. Furthermore, employing a timing window could further improve the PG signal detection from strong background interferences of neutrons. Both energy and time resolved PG detection is a promising solution. These results indicate that there could exist an optimized strategy for PG signal detection. Utilizing appropriate energy window, angular window and timing window, PG image formation could be significantly improved for BP tracking.
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