Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection.
Proton range verification with MACACO II Compton camera enhanced by a neural network for event selection.
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DOI：
10.1038/s41598-021-88812-5
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发表时间：
2021-04-29
影响因子：
4.6
通讯作者：
Llosá G
中科院分区：
文献类型：
--
作者：
Muñoz E;Ros A;Borja-Lloret M;Barrio J;Dendooven P;Oliver JF;Ozoemelam I;Roser J;Llosá G
目前，由于缺乏可靠的在线监测技术，强子疗法在肿瘤治疗中的适用范围受到限制。一个活跃的研究课题是基于检测治疗过程中产生的二次辐射的监测系统的研究。MACACO是一种基于LaBr 3闪烁体晶体和SiPM的多层康普顿照相机，目前正在IFIC-瓦伦西亚为此目的开发。这项工作报告的150兆电子伏质子束撞击在PMMA目标的测量所获得的结果。在蒙特卡洛模拟上训练的神经网络用于事件选择，在图像重建之前增加信号与背景的比率。测量的即时伽马分布的图像重建的频谱重建代码，通过它的4.439 MeV的谱线被解决。重建该能量下的发射分布图像，从而计算远端衰减并识别3 mm的目标位移。
The applicability extent of hadron therapy for tumor treatment is currently limited by the lack of reliable online monitoring techniques. An active topic of investigation is the research of monitoring systems based on the detection of secondary radiation produced during treatment. MACACO, a multi-layer Compton camera based on LaBr3 scintillator crystals and SiPMs, is being developed at IFIC-Valencia for this purpose. This work reports the results obtained from measurements of a 150 MeV proton beam impinging on a PMMA target. A neural network trained on Monte Carlo simulations is used for event selection, increasing the signal to background ratio before image reconstruction. Images of the measured prompt gamma distributions are reconstructed by means of a spectral reconstruction code, through which the 4.439 MeV spectral line is resolved. Images of the emission distribution at this energy are reconstructed, allowing calculation of the distal fall-off and identification of target displacements of 3 mm.
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影响因子：
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作者：
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