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用于叠层X射线计算机断层扫描的三维迭代多层重建

Three-dimensional iterative multislice reconstruction for ptychographic X-ray computed tomography.

作者信息

Shimomura Kei, Hirose Makoto, Higashino Takaya, Takahashi Yukio

出版信息

Opt Express. 2018 Nov 26;26(24):31199-31208. doi: 10.1364/OE.26.031199.

Abstract

Ptychographic X-ray computed tomography (PXCT) is a potential tool for visualizing three-dimensional (3D) structures of large-volume samples at high spatial resolution. Currently, both the requirement of a large number of views and the narrow depth of field limit the range of applications of PXCT. Here, we propose an improved 3D reconstruction algorithm for PXCT that is based on 3D iterative reconstruction and multislice phase retrieval calculation. Computer simulations showed that the proposed algorithm can reduce the number of required views without degrading the spatial resolution. In a synchrotron experiment, ptychographic diffraction data sets of a flat and thick processor specimen were collected under a limited-angle condition, and then high-resolution multislice images of the Cu multilevel interconnects were clearly reconstructed using the proposed algorithm. The proposed algorithm is expected to open up a new frontier of large-volume 3D nanoimaging in various fields.

摘要

叠层X射线计算机断层扫描(PXCT)是一种在高空间分辨率下可视化大体积样品三维(3D)结构的潜在工具。目前,大量视图的需求和狭窄的景深限制了PXCT的应用范围。在此,我们提出了一种基于三维迭代重建和多层相位恢复计算的改进型PXCT三维重建算法。计算机模拟表明,该算法可以在不降低空间分辨率的情况下减少所需视图的数量。在同步加速器实验中,在有限角度条件下收集了扁平且厚的处理器样品的叠层衍射数据集,然后使用该算法清晰地重建了铜多层互连的高分辨率多层图像。该算法有望在各个领域开辟大体积三维纳米成像的新前沿。

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