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Study and comparison of different sensitivity models for a two-plane Compton camera

机译:双层康普顿相机不同敏感模型的研究与比较

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摘要

Given the strong variations in the sensitivity of Compton cameras for the detection of events originating from different points in the field of view (FoV), sensitivity correction is often necessary in Compton image reconstruction. Several approaches for the calculation of the sensitivity matrix have been proposed in the literature. While most of these models are easily implemented and can be useful in many cases, they usually assume high angular coverage over the scattered photon, which is not the case for our prototype. In this work, we have derived an analytical model that allows us to calculate a detailed sensitivity matrix, which has been compared to other sensitivity models in the literature. Specifically, the proposed model describes the probability of measuring a useful event in a two-plane Compton camera, including the most relevant physical processes involved. The model has been used to obtain an expression for the system and sensitivity matrices for iterative image reconstruction. These matrices have been validated taking Monte Carlo simulations as a reference. In order to study the impact of the sensitivity, images reconstructed with our sensitivity model and with other models have been compared. Images have been reconstructed from several simulated sources, including point-like sources and extended distributions of activity, and also from experimental data measured with Na-22 sources.
机译:鉴于康普顿相机的灵敏度的强烈变化,用于检测源自视野(FOV)中的不同点的事件,康普顿图像重建通常需要敏感性校正。在文献中提出了几种用于计算敏感性矩阵的方法。虽然大多数这些型号很容易实现并且在许多情况下可以有用,但它们通常在散射光子上承担高角度覆盖,这不是我们的原型的情况。在这项工作中,我们派生了一个分析模型,允许我们计算详细的灵敏度矩阵,该矩阵已经与文献中的其他灵敏度模型进行了比较。具体地,所提出的模型描述了在双平面康普顿相机中测量有用事件的概率,包括所涉及的最相关的物理过程。该模型已用于获得用于迭代图像重建的系统和灵敏度矩阵的表达。这些矩阵已被验证以蒙特卡罗模拟作为参考。为了研究灵敏度的影响,已经进行了与我们的敏感模型和其他模型重建的图像。已经从多个模拟源重建了图像,包括点状源和扩展的活动分布,以及用Na-22源测量的实验数据。

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