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利用联合迭代重建和重投影快速对齐纳米断层扫描数据。

Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection.

机构信息

Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Lemont, IL, 60439, USA.

Department of Electrical Engineering and Computer Science, Northwestern University, 2145 Sheridan Road, Evanston, IL, 60208, USA.

出版信息

Sci Rep. 2017 Sep 18;7(1):11818. doi: 10.1038/s41598-017-12141-9.

DOI:10.1038/s41598-017-12141-9
PMID:28924196
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5603591/
Abstract

As x-ray and electron tomography is pushed further into the nanoscale, the limitations of rotation stages become more apparent, leading to challenges in the alignment of the acquired projection images. Here we present an approach for rapid post-acquisition alignment of these projections to obtain high quality three-dimensional images. Our approach is based on a joint estimation of alignment errors, and the object, using an iterative refinement procedure. With simulated data where we know the alignment error of each projection image, our approach shows a residual alignment error that is a factor of a thousand smaller, and it reaches the same error level in the reconstructed image in less than half the number of iterations. We then show its application to experimental data in x-ray and electron nanotomography.

摘要

随着 X 射线和电子断层扫描技术进一步推向纳米尺度,旋转台的局限性变得更加明显,导致获取的投影图像的对准出现挑战。在这里,我们提出了一种用于快速获取后对准这些投影的方法,以获得高质量的三维图像。我们的方法基于使用迭代细化过程对对准误差和物体进行联合估计。对于模拟数据,我们知道每个投影图像的对准误差,我们的方法显示出的残余对准误差小了千倍,并且在不到一半的迭代次数内就达到了重建图像中的相同误差水平。然后,我们将其应用于 X 射线和电子纳米断层扫描实验数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/6ec3743beca4/41598_2017_12141_Figa_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/8c1c6792d454/41598_2017_12141_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/43ccaf4c8597/41598_2017_12141_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/ed3324f0dde4/41598_2017_12141_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/52e220042e27/41598_2017_12141_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/d706e34aaf48/41598_2017_12141_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/361fc3052fe6/41598_2017_12141_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/6ec3743beca4/41598_2017_12141_Figa_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/e4087aa7666f/41598_2017_12141_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/b4bed4faea43/41598_2017_12141_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/cea112c06f39/41598_2017_12141_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/2b8b92a8131a/41598_2017_12141_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/8c1c6792d454/41598_2017_12141_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/43ccaf4c8597/41598_2017_12141_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/ed3324f0dde4/41598_2017_12141_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/52e220042e27/41598_2017_12141_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/d706e34aaf48/41598_2017_12141_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/361fc3052fe6/41598_2017_12141_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0401/5603591/6ec3743beca4/41598_2017_12141_Figa_HTML.jpg

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