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在X射线双相网格干涉测量中对暗场信号进行像素智能光束硬化校正

Ruizhi Tang, Caori Organista, Lucia Romano

|December 2, 2023

概括

在X射线格子干扰测试中的光束硬化掩盖了结构细节. 本研究介绍了一种校正算法,用于恢复定量次分辨率信息,从而能够访问小角度散射数据.

科学领域:

物理物理学物理
材料科学材料科学材料科学
影像科学影像科学

背景情况:

X射线格子干扰测量为宏观结构分析提供暗场信号.
多色X射线导致光束硬化,限制了定量次分辨率结构信息的检索.
在双相网格干涉测量中,光束硬化是复杂的,因空间参数而异.

研究的目的:

为双相X射线网格干涉测量开发一个光束硬化校正算法.
为了使次级分辨率结构信息的定量检索.
为了方便对小角度散射数据的访问.

主要方法:

提出了一种新的光束硬化校正算法.
考虑到空间位置,网格间距离和衍射顺序的变化.
通过实验结果验证了算法的准确性和稳定性.

主要成果:

在暗场信号中成功纠正了光束硬化效应.
证明了算法的准确性和稳定性.
能够对次级解决方案结构信息进行定量分析.

结论:

开发的算法是双相网格干涉测量的定量分析的一个关键步骤.
这种方法解锁了以前被光束硬化所掩盖的小角度散射信息的访问.
在X射线格子干扰测量中提升结构成像能力.

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