Virtual multi-alignment theory of parallel-beam CT image reconstruction for rigid objects-Reference-Cited by-同舟云学术

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

Published:2019-09-18 Issue:1 Volume:9 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Jun Kyungtaek

Abstract

Abstract X-ray computed tomography has become an essential technique in various fields, such as biology, archaeology, geoscience, and materials science. Although considerable effort has been given to reconstructing projection image sets from fixed rigid specimens, little attention has been given to the reconstruction of projected images using an alignment method with a rotation axis for objects that are moving during scanning. Therefore, in this study, a mathematical solution for the reconstruction of a projection image set that is obtained from moving objects is presented. In particular, this study presents the reconstruction of a projection image set for two and three objects moving in different directions using the virtual multi-alignment method.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-019-49995-0.pdf

Reference21 articles.

1. Larabell, C. A. & Nugent, K. A. Imaging cellular architecture with X-rays. Curr Opin Struct Biol. 20, 623–631 (2010).

2. Parkinson, Y. D., Knoechel, C., Yang, C., Larabell, C. A. & Le Gros, M. A. Automatic alignment and reconstruction of images for soft X-ray tomography. J. Struct. Biol. 177, 259–266 (2012).

3. Lam, Y. M., Chen, X., Marean, C. W. & Frey, C. J. Bone density and long bone representation in archaeological faunas: comparing results from CT and photon densitometry. J. Archaeol.Sci. 25, 559–570 (1998).

4. Zhu, W., Gaetani, G. A., Fusseis, F., Montesi, L. G. J. & De Carlo, F. Microtomography of partially molten rocks: three-dimensional melt distribution in mantle peridotite. Science 332, 88–91 (2011).

5. Fu, Q., Saiz, E. & Tomsia, A. P. Bioinspired Strong and Highly Porous Glass Sca_olds. Adv. Funct. Mater. 21, 1058–1063 (2011).

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