Single-shot edge illumination x-ray phase-contrast tomography enabled by joint image reconstruction.

Single-shot edge illumination x-ray phase-contrast tomography enabled by joint image reconstruction.
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DOI:
10.1364/ol.42.000619
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发表时间:
2017-02-01
期刊:
影响因子:
3.6
通讯作者:
Anastasio MA
Anastasio MA
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Chen Y;Guan H;Hagen CK;Olivo A;Anastasio MA

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边缘照明X射线相衬断层成像(EIXPCT)是一种新兴的X射线相衬断层成像技术,用于重建物体的复值X射线折射率分布。EIXPCT的传统图像重建方法需要在每个断层视角获取多幅图像。这导致数据采集时间延长和辐射剂量增加,可能阻碍体内应用。在这项工作中,提出了一种新的“单次拍摄”方法,用于从每个视角仅包含一幅图像的断层数据集联合重建折射率分布的实部和虚部。所提出的方法基于逆问题的非线性公式,通过使用基于梯度的优化方法来求解。通过使用计算机模拟和实验性EIXPCT数据集对该方法进行了验证和研究。
Edge illumination X-ray phase-contrast tomography (EIXPCT) is an emerging X-ray phase-contrast tomography technique for reconstructing the complex-valued X-ray refractive index distribution of an object. Conventional image reconstruction approaches for EIXPCT require multiple images to be acquired at each tomographic view angle. This contributes to prolonged data-acquisition times and elevated radiation doses, which can hinder in-vivo applications. In this work, a new ‘single-shot’ method is proposed for joint reconstruction (JR) of the real and imaginary-valued components of the refractive index distribution from a tomographic data set that contains only a single image acquired at each view angle. The proposed method is predicated upon a non-linear formulation of the inverse problem that is solved by use of a gradient-based optimization method. The method is validated and investigated by use of computer-simulated and experimental EIXPCT data sets.