Influence of Data Acquisition Algorithms on X-ray Phase Contrast Imaging Computed Tomography

Epstein, Collin; Goodner, Ryan Nicolas; West, Roger Derek; Thompson, Kyle R.; Dagel, Amber Lynn

doi:10.1115/1.4048517

Influence of Data Acquisition Algorithms on X-ray Phase Contrast Imaging Computed Tomography

Journal Article · Thu Oct 15 00:00:00 EDT 2020 · Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

DOI:https://doi.org/10.1115/1.4048517· OSTI ID:1671804

Epstein, Collin ^[1]; Goodner, Ryan Nicolas ^[1]; West, Roger Derek ^[1]; Thompson, Kyle R. ^[1]; Dagel, Amber Lynn ^[1]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

X-ray phase contrast imaging (XPCI) is a non-destructive evaluation technique that enables high-contrast detection of low-attenuation materials that are largely transparent in traditional radiography. Extending a grating based Talbot-Lau XPCI system to three- dimensional imaging with computed tomography (CT) imposes two motion requirements: the analyzer grating must translate transverse to the optical axis to capture image sets for XPCI reconstruction, and the sample must rotate to capture angular data for CT reconstruction. The acquisition algorithm choice determines the order of movement and positioning of the two stages. The choice of image acquisition algorithm 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 and determine that capturing a full phase-stepping image set for a CT projection before rotating the sample results in higher quality data.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1671804

Report Number(s):: SAND2020--8573J; 690030

Journal Information:: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, Journal Name: Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems Journal Issue: 4 Vol. 3; ISSN 2572-3901

Publisher:: ASMECopyright Statement

Country of Publication:: United States

Language:: English

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