首页> 外文会议>Conference on Medical Imaging: Physics of Medical Imaging >Investigation of the use of Photon Counting X-Ray Detectors with Energy Discrimination Capability for Material Decomposition in Micro-Computed Tomography
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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:最近开发的固态探测器结合高速ASIC,允许各个像素脉冲处理可以证明是小型动物微型计算机断层扫描的探测器。这些光子计数X射线检测器(PCXD)的一个吸引力特征是它们能够在具有不同能量的光子之间区分,并将它们算在少数(2-5)的能量窗口中。这些能量窗口中的数据可以被认为是由具有各个能谱的多个同时X射线束引起的,因此可能用于执行材料成分分析。本文的目标是研究与传统集成探测器相比,使用具有2个不同KVP的X射线束采集图像的传统积分检测器相比,研究PCXDS的潜在优势。对于PCXDS,我们调查了3个潜在的串扰来源:在物体和探测器,能量分辨率有限,有限的能量舞镜中。使用Monte Carlo仿真,我们显示在物体和探测器中的散射导致能量窗口中的数据之间的相对较少的串扰。为了研究能量分辨率和脉冲堆的影响,我们使用具有2或5个能量窗口的探测器和单kVp的探测器进行了评估基础分解的准确性和精度的模拟,与具有集成检测器的双KVP采集相比。我们发现,对于嘈杂的数据,与具有集成检测器的双KVP采集相比,对于一系列材料组合物估计两种基材的厚度的精度更好地对单kVP多能量窗口采集更好。当能量分辨率降低到10ke​​V时,多窗采集的优点有点减少,并且当包括脉冲堆叠时,但估计厚度的标准偏差仍然更好地超过2倍。

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