首页> 外文期刊>Journal of the Optical Society of America, A. Optics, image science, and vision >Comparison of two single-image phase-retrieval algorithms for in-line x-ray phase-contrast imaging
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Comparison of two single-image phase-retrieval algorithms for in-line x-ray phase-contrast imaging

机译:在线X射线相位对比成像的两种单图像相位检索算法的比较

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摘要

The attenuation of x-rays in a material forms the basis of x-ray radiography and tomography. By measuring the transmission of the x-rays over a large amount of raypaths, the three-dimensional (3D) distribution of the x-ray linear attenuation coefficient can be reconstructed in a 3D volume. In x-ray microtomography (μCT), however, the x-ray refraction yields a significant signal in the transmission image and the 3D distribution of the refractive index can be reconstructed in a 3D volume. To do so, several methods exist, on both a hardware and software level. In this paper, we compare two similar software methods, the modified Bronnikov algorithm and the simultaneous phase-and-amplitude retrieval. The first method assumes a pure phase object, whereas the latter assumes a homogeneous object. Although these assumptions seem very restrictive, both methods have proven to yield good results on experimental data.
机译:材料中X射线的衰减形成X射线摄影和断层摄影的基础。通过测量大量射线路径上X射线的透射率,可以在3D体积中重建X射线线性衰减系数的三维(3D)分布。但是,在X射线显微断层扫描(μCT)中,X射线折射会在透射图像中产生明显的信号,并且可以在3D体积中重建折射率的3D分布。为此,在硬件和软件级别都存在几种方法。在本文中,我们比较了两种类似的软件方法,即改进的Bronnikov算法和同时进行的相位和幅度检索。第一种方法假定纯相对象,而第二种方法假定同质对象。尽管这些假设似乎很局限,但两种方法均已证明在实验数据上能产生良好的结果。

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