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Joint-Reconstruction-Enabled Data Acquisition Design for Single-Shot Edge-Illumination X-Ray Phase-Contrast Tomography

机译:单镜头边缘照明X射线相衬层析成像技术的联合重建数据采集设计。

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Edge illumination X-ray phase-contrast tomography (EIXPCT) is an emerging imaging technology capable of estimating the complex-valued refractive index distribution with laboratory-based X-ray sources. 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 potentially elevated radiation doses, which can hinder in-vivo applications. A new "single-shot" method has been 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 JR method docs not place restrictions on the types of measurement data that it can be applied to and therefore enables the exploration of innovation single-shot data-acquisition designs. However, there remains an important need to identify data-acquisition designs that will permit accurate JR. In this study, innovative, JR-enabled, single-shot data-acquisition designs for EIXPCT are proposed and characterized quantitatively in simulation studies.
机译:边缘照明X射线相衬断层扫描(EIXPCT)是一种新兴的成像技术,能够估计基于实验室X射线源的复数值折射率分布。用于EIXPCT的常规图像重建方法要求在每个断层摄影视角下获取多个图像。这导致延长的数据采集时间和潜在的辐射剂量增加,这可能会阻碍体内应用。已经提出了一种新的“单次”方法,用于从层析图像数据集中联合重建(JR)折射率分布的实值和虚值分量,该层析数据集仅包含在每个视角获取的单个图像。 JR方法文档没有对可应用的测量数据类型设置任何限制,因此可以探索创新的单次数据采集设计。但是,仍然非常需要确定允许准确JR的数据采集设计。在这项研究中,提出了创新的,支持JR的,用于EIXPCT的单发数据采集设计,并在模拟研究中对其进行了定量表征。

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