Monte Carlo model validation of a detector system used for Positron Emission Particle Tracking
Monte Carlo model validation of a detector system used for Positron Emission Particle Tracking
复制标题
DOI：
10.1016/j.nima.2021.165073
复制
发表时间：
2021-01-25
影响因子：
1.4
通讯作者：
Windows-Yule, Christopher
中科院分区：
文献类型：
--
作者：
Herald, Matthew;Wheldon, Tzany;Windows-Yule, Christopher
使用正电子发射粒子跟踪（PEPT）捕获的拉格朗日粒子轨迹的时空分辨率在实验之前难以预测，因为这依赖于探测器系统、源活性分布和实验装置。然而，了解实验的局限性对于量化误差并确保捕获的轨迹足够详细地揭示感兴趣的现象以进行有意义的分析至关重要。这些因素在PEPT实验中特别重要，因为这种技术适用于缺乏光学通道的图像不透明系统，用于补充测量技术，如粒子图像测速。使用Monte Carlo模拟器Geant 4断层扫描发射应用程序（GATE），ADAC/菲利普斯Forte，在正电子成像中心（PIC）的PEPT研究中使用的探测器系统的计算模型，创建和验证实验测试的空间分辨率，灵敏度，散射分数，和计数率以下国家电子制造商协会标准。在这项工作中，氟-18源和实验的几何形状被重新创建，生成类似于实验获得的数据的合成数据。在所有的实验和活动测试中，该GATE模型报告一致性在1%-10%的实验。今后，该模型预计将被PIC用于对潜在实验进行可行性研究。此外，实验的优化现在可以进行，而无需花费物理实验所需的大量时间和资源，这代表了PIC的PEPT建模能力的重大改进。
The spatiotemporal resolution of Lagrangian particle trajectories captured using Positron Emission Particle Tracking (PEPT) is difficult to predict prior to experimentation, since this relies on the detector systems, source activity distribution, and experimental apparatus. However, understanding the limitations of an experiment is crucial to quantifying error and ensuring that the captured trajectories reveal phenomena of interest in enough detail for meaningful analysis. These factors are especially important in PEPT experiments since this technique is applied to image opaque systems lacking optical access for complementary measurement techniques, such as Particle Image Velocimetry. Using the Monte Carlo simulator Geant4 Application for Tomographic Emission (GATE), a computational model of the ADAC/Phillips Forte, a detector system used at the Positron Imaging Centre (PIC) for PEPT studies, is created and validated against experiments testing the spatial resolution, sensitivity, scatter fraction, and count-rates following National Electronic Manufactures Association standards. In this work, fluorine-18 sources and experimental geometries are recreated, generating synthetic data analogous to experimentally acquired data. Over all experiments and activities tested, this GATE model reports agreement to within 1%-10% of experiments. In the future, this model is expected to be used by the PIC to conduct feasibility studies of potential experiments. Further, optimization of experiments can now be conducted without expending the considerable time and resources required for physical experimentation, representing a major improvement of the PIC's PEPT modeling capabilities.