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

Ashwin J. Shahani*, E. Begum Gulsoy, John W. Gibbs, Julie L. Fife, Peter W. Voorhees

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

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-29.9wt% Silicon alloy can be analyzed.

Original languageEnglish (US)
Pages (from-to)24606-24621
Number of pages16
JournalOptics Express
Volume22
Issue number20
DOIs
StatePublished - Oct 6 2014

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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