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基于窗口的能量选择 X 射线成像技术及碲锌镉线阵探测器中的电荷共享技术在污染物检测中的应用

Window-Based Energy Selecting X-ray Imaging and Charge Sharing in Cadmium Zinc Telluride Linear Array Detectors for Contaminant Detection.

机构信息

Department of Physics and Chemistry (DiFC)-Emilio Segrè, University of Palermo, 90128 Palermo, Italy.

IMEM/CNR, 43100 Parma, Italy.

出版信息

Sensors (Basel). 2023 Mar 16;23(6):3196. doi: 10.3390/s23063196.

Abstract

The spectroscopic and imaging performance of energy-resolved photon counting detectors, based on new sub-millimetre boron oxide encapsulated vertical Bridgman cadmium zinc telluride linear arrays, are presented in this work. The activities are in the framework of the AVATAR X project, planning the development of X-ray scanners for contaminant detection in food industry. The detectors, characterized by high spatial (250 µm) and energy (<3 keV) resolution, allow spectral X-ray imaging with interesting image quality improvements. The effects of charge sharing and energy-resolved techniques on contrast-to-noise ratio (CNR) enhancements are investigated. The benefits of a new energy-resolved X-ray imaging approach, termed window-based energy selecting, in the detection of low- and high-density contaminants are also shown.

摘要

本文介绍了基于新型亚毫米氧化硼封装垂直布里奇曼法碲化镉锌线阵的能谱光子计数探测器的光谱和成像性能。该研究工作是 AVATAR X 项目的一部分,旨在开发用于食品工业污染物检测的 X 射线扫描仪。这些探测器具有高空间分辨率(250 µm)和能谱分辨率(<3 keV),可实现具有有趣图像质量改进的光谱 X 射线成像。本文研究了电荷共享和能谱技术对对比噪声比(CNR)增强的影响。还展示了一种新的能谱 X 射线成像方法(称为基于窗口的能谱选择)在检测低密度和高密度污染物方面的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a23/10054609/cb6701825159/sensors-23-03196-g001.jpg

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本文引用的文献

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