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A Gaussian extension for Diffraction Enhanced Imaging

机译:衍射增强成像的高斯扩展

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摘要

Unlike conventional x-ray attenuation one of the advantages of phase contrast x-ray imaging is its capability of extracting useful physical properties of the sample. In particular the possibility to obtain information from small angle scattering about unresolvable structures with sub-pixel resolution sensitivity has drawn attention for both medical and material science applications. We report on a novel algorithm for the analyzer based x-ray phase contrast imaging modality, which allows the robust separation of absorption, refraction and scattering effects from three measured x-ray images. This analytical approach is based on a simple Gaussian description of the analyzer transmission function and this method is capable of retrieving refraction and small angle scattering angles in the full angular range typical of biological samples. After a validation of the algorithm with a simulation code, which demonstrated the potential of this highly sensitive method, we have applied this theoretical framework to experimental data on a phantom and biological tissues obtained with synchrotron radiation. Owing to its extended angular acceptance range the algorithm allows precise assessment of local scattering distributions at biocompatible radiation doses, which in turn might yield a quantitative characterization tool with sufficient structural sensitivity on a submicron length scale.
机译:与传统的X射线衰减不同,相衬X射线成像的优点之一是其提取样品有用的物理特性的能力。特别地,从小角度散射获得关于具有亚像素分辨率灵敏度的不可分辨结构的信息的可能性已经引起医学和材料科学应用的关注。我们报告了一种基于分析仪的X射线相衬成像模态的新型算法,该算法可从三个测量的X射线图像中可靠地分离吸收,折射和散射效应。这种分析方法基于对分析仪传递函数的简单高斯描述,并且该方法能够检索生物样品典型的整个角度范围内的折射和小角度散射角。在通过仿真代码对算法进行验证后,证明了这种高度灵敏方法的潜力,我们将这一理论框架应用于通过同步加速器辐射获得的体模和生物组织的实验数据。由于其扩展的角度接受范围,该算法允许在生物相容性辐射剂量下精确评估局部散射分布,这反过来可能会产生一种定量表征工具,在亚微米长度范围内具有足够的结构敏感性。

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