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弹性物体平行束CT图像重建的虚拟多对齐理论

Virtual multi-alignment theory of parallel-beam CT image reconstruction for elastic objects.

作者信息

Jun Kyungtaek, Jung Joeun

机构信息

IM Technology Research Center, 6, Teheran-ro 52-gil, Gangnam-gu, Seoul, 06211, Republic of Korea.

School of Mathematics, Korea Institute for Advanced Study, 85 Hoegiro, Dongdaemungu, Seoul, 02455, Republic of Korea.

出版信息

Sci Rep. 2019 May 2;9(1):6847. doi: 10.1038/s41598-019-43331-2.

DOI:10.1038/s41598-019-43331-2
PMID:31048739
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6497627/
Abstract

In parallel-beam tomography, the virtual alignment method plays an important role in obtaining an ideally aligned reconstruction of a rigid specimen. Furthermore, the method has been developed for elastic specimens with specific motions such as periodic motion, regular expansion or contraction, and elliptical expansion or contraction to obtain a sinogram with an ideal sinogram pattern by transforming an elastic-type projection image set into a rigid-type projection image set satisfying the Helgason-Ludwig consistency condition. In this article, we present a method to convert a combined elastic specimen to a rigid specimen using the virtual multi-alignment method that allows us to obtain an ideally multi-aligned reconstruction of a combined elastic specimen.

摘要

在平行束断层扫描中,虚拟对准方法在获得刚性样本的理想对准重建方面发挥着重要作用。此外,该方法已针对具有特定运动的弹性样本进行了开发,例如周期性运动、规则的膨胀或收缩以及椭圆形膨胀或收缩,通过将弹性类型的投影图像集转换为满足Helgason-Ludwig一致性条件的刚性类型投影图像集,以获得具有理想正弦图模式的正弦图。在本文中,我们提出了一种使用虚拟多重对准方法将组合弹性样本转换为刚性样本的方法,该方法使我们能够获得组合弹性样本的理想多重对准重建。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa36/6497627/991acd12f979/41598_2019_43331_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa36/6497627/89a8e0b99051/41598_2019_43331_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa36/6497627/12b13cadb059/41598_2019_43331_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa36/6497627/fc10f0a00cef/41598_2019_43331_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa36/6497627/991acd12f979/41598_2019_43331_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa36/6497627/89a8e0b99051/41598_2019_43331_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa36/6497627/12b13cadb059/41598_2019_43331_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa36/6497627/fc10f0a00cef/41598_2019_43331_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa36/6497627/991acd12f979/41598_2019_43331_Fig4_HTML.jpg

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本文引用的文献

1
Alignment theory of parallel-beam computed tomography image reconstruction for elastic-type objects using virtual focusing method.使用虚拟聚焦方法对弹性型物体的平行束计算机断层成像重建的对准理论。
PLoS One. 2018 Jun 15;13(6):e0198259. doi: 10.1371/journal.pone.0198259. eCollection 2018.
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Alignment Solution for CT Image Reconstruction using Fixed Point and Virtual Rotation Axis.使用定点和虚拟旋转轴的 CT 图像重建对齐解决方案。
Sci Rep. 2017 Jan 25;7:41218. doi: 10.1038/srep41218.
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Robust estimation of carotid artery wall motion using the elasticity-based state-space approach.
基于弹性状态空间方法的颈动脉壁运动的稳健估计。
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Science. 2011 Apr 1;332(6025):88-91. doi: 10.1126/science.1202221.