光子计数谱CT中最佳能量保持的鲁棒性
Robustness of Optimal Energy Thresholds in Photon-counting Spectral CT
摘要：
在研制用于计算机断层成像的光子计数探测器时，一个重要的问题是如何选择能量阈值。在这项工作中，通过最大化最佳加权图像中的信号差噪声比平方（SDNR 2）和硅条探测器和碲锌镉（CZT）探测器中的钆基图像中的信噪比平方（SNR 2），考虑到两个探测器中的堆积和不完善的能量响应，来优化阈值。为了研究在何种程度上一个单一的阈值集可以应用于各种成像任务，具有2至8箱的最佳阈值的鲁棒性检查与体模厚度和目标材料的变化。与以前的研究相比，最佳阈值位置并不总是随着衰减的增加而增加，如果包括堆积。优化30 cm体模的阈值可产生接近最佳的SDNR 2或SNR 2，而无论两种探测器的靶组织类型和周围衰减如何。具有多于3个仓减少了根据解剖结构和组织改变阈值的需要。使用大约6个仓或8个仓可以给出接近最优的SDNR 2或SNR 2，而不会生成不必要的大量数据。
英文摘要：
An important question when developing photon-counting detectors for computed tomography is how to select energy thresholds. In this work thresholds are optimized by maximizing signal-difference-to-noise ratio squared (SDNR2) in an optimally weighted image and signal-to-noise ratio squared (SNR2) in a gadolinium basis image in a silicon-strip detector and a cadmium zinc telluride (CZT) detector, factoring in pileup and imperfect energy response in both detectors. To investigate to what extent one single set of thresholds could be applied in various imaging tasks, the robustness of optimal thresholds with 2 to 8 bins is examined with the variation of phantom thicknesses and target materials. In contrast to previous studies, the optimal threshold locations don't always increase with increasing attenuation if pileup is included. Optimizing the thresholds for a 30 cm phantom yields near-optimal SDNR2 or SNR2 regardless of target tissue types and surrounding attenuation for both detectors. Having more than 3 bins reduces the need for changing the thresholds depending on anatomies and tissues. Using around 6 bins or 8 bins may give near-optimal SDNR2 or SNR2 without generating an unnecessarily large amount of data.
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