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An FBP image reconstruction algorithm for x-ray differential phase contrast CT

机译:用于X射线微分相衬CT的FBP图像重建算法

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Most recently, a novel data acquisition method has been proposed and experimentally implemented for x-ray differential phase contrast computed tomography (DPC-CT), in which a conventional x-ray tube and a Talbot-Lau type interferometer were utilized in data acquisition. The divergent nature of the data acquisition system requires a divergent-beam image reconstruction algorithm for DPC-CT. This paper focuses on addressing this image reconstruction issue. We developed a filtered backprojection algorithm to directly reconstruct the DPC-CT images from acquired projection data. The developed algorithm allows one to directly reconstruct the decrement of the real part of the refractive index from the measured data. In order to accurately reconstruct an image, the data need to be acquired over an angular range of at least 180° plus the fan-angle. Different from the parallel beam data acquisition and reconstruction methods, a 180° rotation angle for data acquisition system does not provide sufficient data for an accurate reconstruction of the entire filed of view. Numerical simulations have been conducted to validate the image reconstruction algorithm.
机译:最近,已经提出了一种新颖的数据采集方法,并通过实验实现了用于X射线微分相衬计算机断层扫描(DPC-CT),其中在数据采集中采用了传统的X射线管和Talbot-Lau型干涉仪。数据采集​​系统的发散性质需要DPC-CT的发散束图像重建算法。本文着重解决这个图像重建问题。我们开发了一种过滤的反投影算法,可以直接从获取的投影数据中重建DPC-CT图像。所开发的算法允许人们从测量数据中直接重建折射率实部的减量。为了准确地重建图像,需要在至少180°加上扇形角的角度范围内获取数据。与平行光束数据获取和重建方法不同,用于数据获取系统的180°旋转角度不能提供足够的数据来准确重建整个视场。进行了数值模拟,以验证图像重建算法。

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