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Investigation of the use of photon counting x-ray detectors with energy discrimination capability for material decomposition in micro-computed tomography

机译:微型计算机断层扫描中材料分解的能量辨别能力使用光子计数X射线检测器的使用

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Recently developed solid-state detectors combined with high-speed ASICs that allow individual pixel pulse processing may prove useful as detectors for small animal micro-computed tomography. One appealing feature of these photon-counting x-ray detectors (PCXDs) is their ability to discriminate between photons with different energies and count them in a small number (2-5) of energy windows. The data in these energy windows may be thought of as arising from multiple simultaneous x-ray beams with individual energy spectra, and could thus potentially be used to perform material composition analysis. The goal of this paper was to investigate the potential advantages of PCXDs with multiple energy window counting capability as compared to traditional integrating detectors combined with acquisition of images using x-ray beams with 2 different kVps. For the PCXDs, we investigated 3 potential sources of crosstalk: scatter in the object and detector, limited energy resolution, and pulse piluep. Using Monte Carlo simulations, we showed that scatter in the object and detector results in relatively little crosstalk between the data in the energy windows. To study the effects of energy resolution and pulse-pileup, we performed simulations evaluating the accuracy and precision of basis decomposition using a detector with 2 or 5 energy windows and a single kVp compared to an dual kVp acquisitions with an integrating detector. We found that, for noisy data, the precision of estimating the thickness of two basis materials for a range of material compositions was better for the single kVp multiple energy window acquisitions compared to the dual kVp acquisitions with an integrating detector. The advantage of the multi-window acquisition was somewhat reduced when the energy resolution was reduced to 10 keV and when pulse pileup was included, but standard deviations of the estimated thicknesses remained better by more than a factor of 2.
机译:最近开发的固态检测器与高速的ASIC,其允许单独的像素脉冲处理可证明作为检测器,用于小动物的微计算机断层摄影有用组合。这些光子计数X射线探测器(PCXDs)中的一个吸引人的特征是它们具有不同能量的光子和区分在能量窗的少数(2-5)计算它们的能力。在这些能量窗中的数据可以被认为是从多个同时的X射线而产生与个别能量谱束的,并且可能因此潜在可用于执行材料组成分析。本文的目的是相比于传统的积分探测器与采集中使用的x射线图像的结合2个不同kVps束以调查多个能量窗口计数能力PCXDs的潜在优势。对于PCXDs,我们研究了3个潜在的串扰的来源:分散在对象和检测器,限制能量分辨率,和脉冲piluep。利用蒙特卡罗模拟,我们发现在每个能窗的数据之间的比较小的串扰对象和检测结果分散。研究的能量分辨率和脉冲堆积的效果,我们进行了模拟使用检测器有2个或5的能量窗和单个的kVp相比有积分检测器的双kVp的收购评估基础分解的准确度和精确度。我们发现,对于噪声的数据,估算的两个基材料的厚度为一定范围的材料组成的精度是相比于用一个积分探测器双kVp的收购为单个的kVp多个能量窗口收购更好。多窗口获取的优点时,能量分辨率降低至10千电子伏,并且当脉冲堆积被列入多少有些降低,但估计厚度的标准偏差大于2的因子仍然通过更好。

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