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Efficient material decomposition method for dual-energy X-ray cargo inspection system

机译:双能X射线货物检查系统的高效材料分解方法

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Dual-energy X-ray inspection systems are widely used today for it provides X-ray attenuation contrast of the imaged object and also its material information. Material decomposition capability allows a higher detection sensitivity of potential targets including purposely loaded impurities in agricultural product inspections and threats in security scans for example. Dual-energy X-ray transmission data can be transformed into two basis material thickness data, and its transformation accuracy heavily relies on a calibration of material decomposition process. The calibration process in general can be laborious and time consuming. Moreover, a conventional calibration method is often challenged by the nonuniform spectral characteristics of the X-ray beam in the entire field-of-view (FOV). In this work, we developed an efficient material decomposition calibration process for a linear accelerator (LINAC) based high-energy X-ray cargo inspection system. We also proposed a multi-spot calibration method to improve the decomposition performance throughout the entire FOV. Experimental validation of the proposed method has been demonstrated by use of a cargo inspection system that supports 6 MV and 9 MV dual-energy imaging.
机译:如今,双能X射线检查系统被广泛使用,因为它可以提供成像对象的X射线衰减对比以及其材料信息。材料分解功能可提高潜在目标的检测灵敏度,例如农产品检查中故意装载的杂质以及安全扫描中的威胁。双能X射线透射数据可以转换为两个基本材料厚度数据,其转换精度在很大程度上取决于材料分解过程的校准。通常,校准过程可能是费力且耗时的。此外,传统的校准方法经常受到整个视野(FOV)中X射线束光谱特性不均匀的挑战。在这项工作中,我们为基于线性加速器(LINAC)的高能X射线货物检查系统开发了一种有效的材料分解校准过程。我们还提出了一种多点校准方法,以改善整个FOV的分解性能。通过使用支持6 MV和9 MV双能成像的货物检查系统,已对所提出的方法进行了实验验证。

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