Abstract

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.

Original languageEnglish (US)
Pages (from-to)48-51
Number of pages4
JournalScripta Materialia
Volume86
DOIs
StatePublished - Sep 1 2014

Fingerprint

projection
X rays
Microstructure
optimization
Tomography
microstructure
x rays
tomography

Keywords

  • Limited-angle projections
  • Material microstructure
  • Stochastic reconstruction
  • X-ray tomography

ASJC Scopus subject areas

  • Materials Science(all)
  • Condensed Matter Physics

Cite this

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title = "Reconstruction of heterogeneous materials via stochastic optimization of limited-angle X-ray tomographic projections",
abstract = "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.",
keywords = "Limited-angle projections, Material microstructure, Stochastic reconstruction, X-ray tomography",
author = "Hechao Li and Nikhilesh Chawla and Yang Jiao",
year = "2014",
month = "9",
day = "1",
doi = "10.1016/j.scriptamat.2014.05.002",
language = "English (US)",
volume = "86",
pages = "48--51",
journal = "Scripta Materialia",
issn = "1359-6462",
publisher = "Elsevier Limited",

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T1 - Reconstruction of heterogeneous materials via stochastic optimization of limited-angle X-ray tomographic projections

AU - Li, Hechao

AU - Chawla, Nikhilesh

AU - Jiao, Yang

PY - 2014/9/1

Y1 - 2014/9/1

N2 - 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.

AB - 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.

KW - Limited-angle projections

KW - Material microstructure

KW - Stochastic reconstruction

KW - X-ray tomography

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VL - 86

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EP - 51

JO - Scripta Materialia

JF - Scripta Materialia

SN - 1359-6462

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