Integrated Approach to the Data Processing Of Four-Dimensional Datasets from Phase-Contrast X-Ray Tomography

Ashwin Shahani

Assistant Professor

shahani@umich.edu

2034 H.H. Dow

T: (734) 764-5648

Bio

Publications


Ashwin J Shahani, E. B Gulsoy, John W Gibbs, Julie L Fife, and Peter W Voorhees (2014)

Optics Express, 22(20):24606-24621.

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. (C) 2014 Optical Society of America

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