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Influence of data acquisition algorithms on X-ray phase contrast imaging computed tomography

Authors: Collin Epstein (Sandia National Laboratories) , Ryan Goodner (Sandia National Laboratories) , Kyle Thompson (Sandia National Laboratories) , Amber Dagel (Sandia National Laboratories)

  • Influence of data acquisition algorithms on X-ray phase contrast imaging computed tomography

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    Influence of data acquisition algorithms on X-ray phase contrast imaging computed tomography

    Authors: , , ,

Abstract

X-ray phase contrast imaging (XPCI) is a non-destructive evaluation technique that enables high-contrast detection of lowdensity materials that are transparent to traditional radiography. Extending a grating-based XPCI system to three-dimensional imaging with computed tomography (CT) imposes two stage motion requirements: the analyzer grating must translate transverse to the system optical axis to capture images sets for XPCI reconstruction, and the sample stage must rotate to capture angular data for CT reconstruction. The motion of both stages are determined by the acquisition algorithm used in the system. Therefore, the design of image acquisition algorithms for XPCI CT is instrumental to collecting high fidelity data for reconstruction. We investigate how data acquisition influences XPCI CT by comparing two simple data acquisition algorithms.

How to Cite:

Epstein, C., Goodner, R., Thompson, K. & Dagel, A., (2019) “Influence of data acquisition algorithms on X-ray phase contrast imaging computed tomography”, Review of Progress in Quantitative Nondestructive Evaluation .

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Published on
03 Dec 2019
Peer Reviewed
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