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Reliable extraction of x-ray refraction and dark-field signals with a large field of view, multi-modal scanning system at spectral energies up to 150 kVp

Partridge, Thomas; Astolfo, Alberto; Buchanan, Ian; Kallon, Gibril; Munro, Peter RT; Hagen, Charlotte Klara; Endrizzi, Marco; ... Olivo, Alessandro; + view all (2024) Reliable extraction of x-ray refraction and dark-field signals with a large field of view, multi-modal scanning system at spectral energies up to 150 kVp. Journal of Physics D: Applied Physics , 57 (17) , Article 175104. 10.1088/1361-6463/ad2096. Green open access

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Abstract

Multi-modal x-ray scanning allows the simultaneous acquisition of attenuation, refraction and ultra-small angle scattering (USAXS) or dark field images. While many examples of multi-modal x-ray scanning exist in the literature, extension to high x-ray energy, necessary to investigate dense and high-Z materials, still poses challenges. We present the investigation of attenuation, refraction and dark field images taken at 90, 120 and 150 kVp, using a scanning, large field of view multi-modal imaging system. Increases in tube voltage reduce both contrast and signal to noise but still produce satisfactory results suitable for quantitative analysis. On top of benchmarking against phantoms made of known materials, we illustrate this by scanning a 9V PP3 battery; a highly absorbing sample which causes photon starvation at lower energies.

Type: Article
Title: Reliable extraction of x-ray refraction and dark-field signals with a large field of view, multi-modal scanning system at spectral energies up to 150 kVp
Open access status: An open access version is available from UCL Discovery
DOI: 10.1088/1361-6463/ad2096
Publisher version: http://dx.doi.org/10.1088/1361-6463/ad2096
Language: English
Additional information: Copyright © 2024 The Author(s). Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI Everyone is permitted to use all or part of the original content in this article, provided that they adhere to all the terms of the licence https://creativecommons.org/licences/by/4.0
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10186097
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