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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

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.

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  • Reconstruction of Heterogeneous Materials Via Stochastic Optimization of Limited-Angle X-Ray Tomographic Projections
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2014-09-01
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    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

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