Integrated approach to the data processing of four-dimensional datasets from phase-contrast x-ray tomography

Phase contrast X-ray tomography (PCT) enables the study of systems consisting of elements with similar atomic numbers. Processing datasets acquired using PCT is nontrivial because of the low-pass characteristics of the commonly used single-image phase retrieval algorithm. In this study, we introduce...

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Bibliographic Details
Published in:Optics express 2014-10, Vol.22 (20), p.24606-24621
Main Authors: Shahani, Ashwin J, Begum Gulsoy, E, Gibbs, John W, Fife, Julie L, Voorhees, Peter W
Format: Article
Language:English
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Summary:Phase contrast X-ray tomography (PCT) enables the study of systems consisting of elements with similar atomic numbers. Processing datasets acquired using PCT is nontrivial because of the low-pass characteristics of the commonly used single-image phase retrieval algorithm. In this study, we introduce an image processing methodology that simultaneously utilizes both phase and attenuation components of an image obtained at a single detector distance. This novel method, combined with regularized Perona-Malik filter and bias-corrected fuzzy C-means algorithm, allows for automated segmentation of data acquired through four-dimensional PCT. Using this integrated approach, the three-dimensional coarsening morphology of an Aluminum-29.9 wt% Silicon alloy can be analyzed.
ISSN:1094-4087
1094-4087
DOI:10.1364/OE.22.024606