High-speed processing of X-ray wavefront marking data with the Unified Modulated Pattern Analysis (UMPA) model
High-speed processing of X-ray wavefront marking data with the Unified Modulated Pattern Analysis (UMPA) model
Wavefront-marking X-ray imaging techniques use e.g., sandpaper or a grating to generate intensity fluctuations, and analyze their distortion by the sample in order to retrieve attenuation, phase-contrast, and dark-field information. Phase contrast yields an improved visibility of soft-tissue specimens, while dark-field reveals small-angle scatter from sub-resolution structures. Both have found many biomedical and engineering applications. The previously developed Unified Modulated Pattern Analysis (UMPA) model extracts these modalities from wavefront-marking data. We here present a new UMPA implementation, capable of rapidly processing large datasets and featuring capabilities to greatly extend the field of view. We also discuss possible artifacts and additional new features.
635-650
De Marco, Fabio
6b775766-df7f-4d75-ad56-493d15f74800
Savatović, Sara
217e351b-34ea-4560-a044-de9620c3c437
Thibault, Pierre
975a4c7b-6ca9-4958-b362-9eba10ab926b
Di Trapani, Vittorio
4d538242-2d13-478b-b612-15b3bd94a507
Margini, Marco
8b4b2627-6fbf-4f85-86a4-0fe3e55c393f
Lautizi, Ginevra
c6175767-2ee3-4155-b3c3-78153c4d4c8e
Smith, Ronan
1fb08494-58d7-4532-8fcc-df7b02cd6369
2 January 2023
De Marco, Fabio
6b775766-df7f-4d75-ad56-493d15f74800
Savatović, Sara
217e351b-34ea-4560-a044-de9620c3c437
Thibault, Pierre
975a4c7b-6ca9-4958-b362-9eba10ab926b
Di Trapani, Vittorio
4d538242-2d13-478b-b612-15b3bd94a507
Margini, Marco
8b4b2627-6fbf-4f85-86a4-0fe3e55c393f
Lautizi, Ginevra
c6175767-2ee3-4155-b3c3-78153c4d4c8e
Smith, Ronan
1fb08494-58d7-4532-8fcc-df7b02cd6369
De Marco, Fabio, Savatović, Sara, Thibault, Pierre, Di Trapani, Vittorio, Margini, Marco, Lautizi, Ginevra and Smith, Ronan
(2023)
High-speed processing of X-ray wavefront marking data with the Unified Modulated Pattern Analysis (UMPA) model.
Optica, 31 (1), .
(doi:10.1364/OE.474794).
Abstract
Wavefront-marking X-ray imaging techniques use e.g., sandpaper or a grating to generate intensity fluctuations, and analyze their distortion by the sample in order to retrieve attenuation, phase-contrast, and dark-field information. Phase contrast yields an improved visibility of soft-tissue specimens, while dark-field reveals small-angle scatter from sub-resolution structures. Both have found many biomedical and engineering applications. The previously developed Unified Modulated Pattern Analysis (UMPA) model extracts these modalities from wavefront-marking data. We here present a new UMPA implementation, capable of rapidly processing large datasets and featuring capabilities to greatly extend the field of view. We also discuss possible artifacts and additional new features.
Available under License Other.
More information
Accepted/In Press date: 4 December 2022
e-pub ahead of print date: 23 December 2022
Published date: 2 January 2023
Additional Information:
Funding Information:
Acknowledgments. We thank Dr. Irene Zanette for helpful discussions. We would like to thank Professor Julia Herzen and Mirko Riedel for the invitation to their beamtime at P05/PETRA III in October 2021, which allowed us to perform the measurement shown in Fig. 3. We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. Parts of this research were carried out at PETRA III and we would like to thank Mirko Riedel and Dr. Felix Beckmann for assistance in using P05. Beamtime was allocated for proposal II-20190765. We acknowledge Elettra Sincrotrone Trieste for providing access to its synchrotron radiation facilities and we thank Dr. Giuliana Tromba and Dr. Adriano Contillo for assistance in using the SYRMEP beamline. Beamtime was allocated for proposal 20210351. This publication is part of a project that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant agreement No. 866026).
Funding Information:
H2020 European Research Council (866026). We thank Dr. Irene Zanette for helpful discussions. We would like to thank Professor Julia Herzen and Mirko Riedel for the invitation to their beamtime at P05/PETRA III in October 2021, which allowed us to perform the measurement shown in Fig. 3. We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. Parts of this research were carried out at PETRA III and we would like to thank Mirko Riedel and Dr. Felix Beckmann for assistance in using P05. Beamtime was allocated for proposal II-20190765. We acknowledge Elettra Sincrotrone Trieste for providing access to its synchrotron radiation facilities and we thank Dr. Giuliana Tromba and Dr. Adriano Contillo for assistance in using the SYRMEP beamline. Beamtime was allocated for proposal 20210351. This publication is part of a project that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant agreement No. 866026).
Publisher Copyright:
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.
Identifiers
Local EPrints ID: 473889
URI: http://eprints.soton.ac.uk/id/eprint/473889
ISSN: 2334-2536
PURE UUID: 9a2af886-cb0d-4017-a4db-d7c3a546aaa3
Catalogue record
Date deposited: 02 Feb 2023 17:39
Last modified: 16 Mar 2024 23:57
Export record
Altmetrics
Contributors
Author:
Fabio De Marco
Author:
Sara Savatović
Author:
Pierre Thibault
Author:
Vittorio Di Trapani
Author:
Marco Margini
Author:
Ginevra Lautizi
Author:
Ronan Smith
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics