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A fast, non-iterative algorithm for quantitative integration of X-ray differential phase-contrast images

Massimi, L; Buchanan, I; Astolfo, A; Endrizzi, M; Olivo, A; (2020) A fast, non-iterative algorithm for quantitative integration of X-ray differential phase-contrast images. The Optics Express , 28 (26) pp. 39677-39687. 10.1364/OE.405755. Green open access

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Abstract

X-ray phase contrast imaging is gaining importance as an imaging tool. However, it is common for X-ray phase detection techniques to be sensitive to the derivatives of the phase. Therefore, the integration of differential phase images is a fundamental step both to access quantitative pixel content and for further analysis such as segmentation. The integration of noisy data leads to artefacts with a severe impact on image quality and on its quantitative content. In this work, an integration method based on the Wiener filter is presented and tested using simulated and real data obtained with the edge illumination differential X-ray phase imaging method. The method is shown to provide high image quality while preserving the quantitative pixel content of the integrated image. In addition, it requires a short computational time making it suitable for large datasets.

Type: Article
Title: A fast, non-iterative algorithm for quantitative integration of X-ray differential phase-contrast images
Open access status: An open access version is available from UCL Discovery
DOI: 10.1364/OE.405755
Publisher version: https://doi.org/10.1364/OE.405755
Language: English
Additional information: © 2021. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/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/10115975
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