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用于X射线暗场成像的三维投影模型

A 3-D Projection Model for X-ray Dark-field Imaging.

作者信息

Felsner Lina, Hu Shiyang, Maier Andreas, Bopp Johannes, Ludwig Veronika, Anton Gisela, Riess Christian

机构信息

Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University of Erlangen-Nuremberg, Erlangen, Germany.

International Max Planck Research School, Erlangen, Germany.

出版信息

Sci Rep. 2019 Jun 25;9(1):9216. doi: 10.1038/s41598-019-45708-9.

Abstract

The X-ray dark-field signal can be measured with a grating-based Talbot-Lau interferometer. It measures small angle scattering of micrometer-sized oriented structures. Interestingly, the signal is a function not only of the material, but also of the relative orientation of the sample, the X-ray beam direction, and the direction of the interferometer sensitivity. This property is very interesting for potential tomographically reconstructing structures below the imaging resolution. However, tomographic reconstruction itself is a substantial challenge. A key step of the reconstruction algorithm is the inversion of a forward projection model. In this work, we propose a very general 3-D projection model. We derive the projection model under the assumption that the observed scatter distribution has a Gaussian shape. We theoretically show the consistency of our model with existing, more constrained 2-D models. Furthermore, we experimentally show the compatibility of our model with simulations and real dark-field measurements. We believe that this 3-D projection model is an important step towards more flexible trajectories and, by extension, dark-field imaging protocols that are much better applicable in practice.

摘要

X射线暗场信号可以用基于光栅的塔尔博特-劳干涉仪来测量。它测量微米级取向结构的小角散射。有趣的是,该信号不仅是材料的函数,也是样品的相对取向、X射线束方向和干涉仪灵敏度方向的函数。这一特性对于潜在地断层重建低于成像分辨率的结构非常有趣。然而,断层重建本身是一个巨大的挑战。重建算法的一个关键步骤是正向投影模型的反演。在这项工作中,我们提出了一个非常通用的三维投影模型。我们在观测到的散射分布具有高斯形状的假设下推导投影模型。我们从理论上证明了我们的模型与现有的、约束更强的二维模型的一致性。此外,我们通过实验证明了我们的模型与模拟和实际暗场测量的兼容性。我们相信,这个三维投影模型是朝着更灵活的轨迹迈出的重要一步,进而也是朝着在实践中更适用的暗场成像协议迈出的重要一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/496b/6592954/3732b08edfd0/41598_2019_45708_Fig1_HTML.jpg

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