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用于X射线微分相衬图像定量积分的快速非迭代算法。

Fast, non-iterative algorithm for quantitative integration of X-ray differential phase-contrast images.

作者信息

Massimi Lorenzo, Buchanan Ian, Astolfo Alberto, Endrizzi Marco, Olivo Alessandro

出版信息

Opt Express. 2020 Dec 21;28(26):39677-39687. doi: 10.1364/OE.405755.

DOI:10.1364/OE.405755
PMID:33379512
Abstract

X-ray phase contrast imaging is gaining importance as an imaging tool. However, it is common for X-ray phase detection techniques to be sensitive to the derivatives of the phase. Therefore, the integration of differential phase images is a fundamental step both to access quantitative pixel content and for further analysis such as segmentation. The integration of noisy data leads to artefacts with a severe impact on image quality and on its quantitative content. In this work, an integration method based on the Wiener filter is presented and tested using simulated and real data obtained with the edge illumination differential X-ray phase imaging method. The method is shown to provide high image quality while preserving the quantitative pixel content of the integrated image. In addition, it requires a short computational time making it suitable for large datasets.

摘要

X射线相衬成像作为一种成像工具正变得越来越重要。然而,X射线相位检测技术通常对相位导数敏感。因此,微分相位图像的积分是获取定量像素内容以及进行诸如分割等进一步分析的基本步骤。对有噪声的数据进行积分会导致伪影,对图像质量及其定量内容产生严重影响。在这项工作中,提出了一种基于维纳滤波器的积分方法,并使用通过边缘照明微分X射线相衬成像方法获得的模拟数据和真实数据进行了测试。结果表明,该方法在保持积分图像定量像素内容的同时,能提供高质量的图像。此外,它所需的计算时间短,适用于大型数据集。

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