Investigation of discrete imaging models and iterative image reconstruction in differential X-ray phase-contrast tomography.
Investigation of discrete imaging models and iterative image reconstruction in differential X-ray phase-contrast tomography.
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DOI：
10.1364/oe.20.010724
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发表时间：
2012-05-07
期刊：
影响因子：
3.8
通讯作者：
Anastasio MA
中科院分区：
文献类型：
--
作者：
Xu Q;Sidky EY;Pan X;Stampanoni M;Modregger P;Anastasio MA
差分X射线相衬层析成像（DPCT）是一种很有前途的方法，可以重建X射线吸收衬度较弱的材料的X射线折射率分布。DPCT中的断层摄影投影数据对应于折射率分布的二维（2D）Radon变换的一维（1D）导数，根据该断层摄影投影数据重建折射率分布的估计。非常需要开发用于DPCT的迭代图像重建方法，其可以从少视图投影数据产生有用的图像，从而减轻与使用分析重建方法相关联的长数据采集时间和大辐射剂量。在这项工作中，我们分析了两类离散成像模型的数值和统计特性，这些模型构成了DPCT迭代图像重建的基础。我们还研究了使用的模型与现代图像重建算法进行少视图图像重建的组织标本之一。
Differential X-ray phase-contrast tomography (DPCT) refers to a class of promising methods for reconstructing the X-ray refractive index distribution of materials that present weak X-ray absorption contrast. The tomographic projection data in DPCT, from which an estimate of the refractive index distribution is reconstructed, correspond to one-dimensional (1D) derivatives of the two-dimensional (2D) Radon transform of the refractive index distribution. There is an important need for the development of iterative image reconstruction methods for DPCT that can yield useful images from few-view projection data, thereby mitigating the long data-acquisition times and large radiation doses associated with use of analytic reconstruction methods. In this work, we analyze the numerical and statistical properties of two classes of discrete imaging models that form the basis for iterative image reconstruction in DPCT. We also investigate the use of one of the models with a modern image reconstruction algorithm for performing few-view image reconstruction of a tissue specimen.