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Gamma-ray tracking for high energy gamma-ray imaging in pixelated CdZnTe

机译:像素化CdZnTe中高能伽马射线成像的伽马射线跟踪

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摘要

Sequencing gamma-ray interactions within a detector system is an integral component of Compton imaging. In detectors with poor timing resolution compared to the time interval of successive interactions, algorithms which order gamma-ray interactions must be implemented using only energy and position information. This work examines previous algorithms and inspects interaction kinematics to increase the sequencing algorithm's speed and effectiveness. The proposed method, in which the first interaction is assumed to deposit the largest energy, has improved sequencing performance by greater than 20% for full energy gamma ray depositions larger than 1 MeV that do not contain pair-production. In addition, the algorithm shows a decrease in computational costs for sequence reconstruction to allow for better real time reconstruction. Experimental results show an almost twofold increase in the signal to noise ratio (SNR) for simple backprojection images of a ~(22)Na source. Additional measurements of the 2.2 MeV gamma rays from H~1(n,γ)D~2 neutron capture demonstrates the proposed algorithm's superior performance.
机译:在检测器系统中对伽马射线相互作用进行排序是康普顿成像的组成部分。在与连续相互作用的时间间隔相比时序分辨率较差的探测器中,必须仅使用能量和位置信息来实现对伽马射线相互作用进行排序的算法。这项工作检查了以前的算法并检查了交互运动学,以提高排序算法的速度和有效性。对于不包含成对产生的大于1 MeV的全能伽马射线沉积,所提出的方法(假设第一次相互作用会沉积最大的能量)将排序性能提高了20%以上。此外,该算法显示出序列重建的计算成本降低,从而可以实现更好的实时重建。实验结果表明,对于〜(22)Na源的简单反投影图像,信噪比(SNR)几乎增加了两倍。 H〜1(n,γ)D〜2中子俘获对2.2 MeV伽玛射线的额外测量证明了该算法的优越性能。

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