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Description

X-ray tomography has provided a non-destructive means for microstructure characterization in three and four dimensions. A stochastic procedure to accurately reconstruct material microstructure from limited-angle X-ray tomographic projections is presented and its utility is demonstrated by reconstructing a variety of distinct heterogeneous materials and elucidating the information content of different projection data sets. A small number of projections (e.g. 20–40) are necessary for accurate reconstructions via the stochastic procedure, indicating its high efficiency in using limited structural information.

Date Created
2014-09-01
Contributors
Resource Type
Text
Extent
12 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
ASU Scholarship Showcase
Identifier
Digital object identifier: 10.1016/j.scriptamat.2014.05.002
International standard serial number
1359-6462
Peer-reviewed
No
Open Access
No
Series
SCRIPTA MATERIALIA
Handle
https://hdl.handle.net/2286/R.I.26164
Preferred Citation

Li, Hechao, Chawla, Nikhilesh, & Jiao, Yang (2014). Reconstruction of heterogeneous materials via stochastic optimization of limited-angle X-ray tomographic projections. SCRIPTA MATERIALIA, 86, 48-51. http://dx.doi.org/10.1016/j.scriptamat.2014.05.002

Level of coding
minimal
Cataloging Standards
asu1
Note
NOTICE: this is the author's version of a work that was accepted for publication in . Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in SCRIPTA MATERIALIA, 86, 48-51. DOI: 10.1016/j.scriptamat.2014.05.002
System Created
  • 2014-10-27 11:41:59
System Modified
  • 2021-12-09 12:52:33
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