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Dynamic laboratory x-ray phase-contrast microtomography with structure-based prior regularisation

Allan, Harry; Partridge, Tom; Jacob, Joseph; Endrizzi, Marco; (2025) Dynamic laboratory x-ray phase-contrast microtomography with structure-based prior regularisation. Measurement Science and Technology , 36 (9) , Article 095405. 10.1088/1361-6501/ae01c8. Green open access

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Abstract

X-ray microtomography is a versatile tool allowing the measurement of the 3D structure of optically thick samples. As a non-destructive technique, it is readily adapted to 4D imaging, where a sample can be monitored over time, and especially in conjunction with the application of external stimuli. To apply this technique with the limited x-ray flux available at a conventional laboratory source, we leverage the contrast enhancement of free-space propagation phase-contrast imaging, achieving an increase in contrast-to-noise ratio (CNR) of 5.8x. Furthermore, we combine this with iterative reconstruction, using regularisation by a structure-based prior from a high-quality reference scan of the object. This combination of phase-contrast imaging and iterative reconstruction leads to a 29.2x improvement in CNR compared to the conventional reconstruction. This enables fully dynamic x-ray microtomography, with a temporal resolution of 9 s at a voxel size of 10.5 μm. We use this to measure the movement of a waterfront in the fine vessels of a wooden skewer, as a representative example of dynamic system evolving on the scale of tens of seconds.

Type: Article
Title: Dynamic laboratory x-ray phase-contrast microtomography with structure-based prior regularisation
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1088/1361-6501/ae01c8
Publisher version: https://doi.org/10.1088/1361-6501/ae01c8
Language: English
Additional information: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 license, https://creativecommons.org/licenses/by/4.0/. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Respiratory Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10216765
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