Extending the field-of-view of speckle-based microtomography with the UMPA model
Extending the field-of-view of speckle-based microtomography with the UMPA model
Phase-contrast computed tomography enables the visualization of weakly-absorbing samples with high contrast. Speckle-based imaging (SBI) is a phase-sensitive X-ray imaging technique that requires the use of a wavefront marker (typically a sandpaper) to retrieve multi-modal information: absorption, refraction and scattering. These quantities are derived by analyzing the distortions in a reference pattern generated when the sample is inserted into the beam. The Unified Modulated Pattern Analysis (UMPA) model is a speckle-tracking method capable of processing such datasets. While high-resolution tomographic reconstructions can be achieved at the synchrotron, there is usually a trade-off with sample dimensions. Here, we use UMPA with a multi-frame approach for signal retrieval, enabling the expansion of the reconstructed field-of-view (FOV) by moving the sample instead of the modulator transversely to the beam. We demonstrate this technique on a human placental tissue sample.
microtomography, Speckle-based imaging, synchrotron, UMPA
Savatović, Sara
217e351b-34ea-4560-a044-de9620c3c437
De Marco, Fabio
fe0ff311-e459-4a14-b445-16669ac6adbd
Riedel, Mirko
326ea040-9576-445d-8b04-2ee69b3897db
Laundon, Davis J.
b2ba5687-d949-47dd-b84f-fb3c0c032550
Regner, Michèle Louise
848ffabb-0929-4ac4-9358-082261b222a7
Hammel, Jörg U.
ec94533e-a557-4d2e-8c3d-c67d3efb821e
Lewis, Rohan M.
caaeb97d-ea69-4f7b-8adb-5fa25e2d3502
Herzen, Julia
2f599af5-2bb2-481c-828f-22c05ceabc3f
Thibault, Pierre
e4745a02-fff6-442d-b026-a6c64e4bcf8b
18 October 2024
Savatović, Sara
217e351b-34ea-4560-a044-de9620c3c437
De Marco, Fabio
fe0ff311-e459-4a14-b445-16669ac6adbd
Riedel, Mirko
326ea040-9576-445d-8b04-2ee69b3897db
Laundon, Davis J.
b2ba5687-d949-47dd-b84f-fb3c0c032550
Regner, Michèle Louise
848ffabb-0929-4ac4-9358-082261b222a7
Hammel, Jörg U.
ec94533e-a557-4d2e-8c3d-c67d3efb821e
Lewis, Rohan M.
caaeb97d-ea69-4f7b-8adb-5fa25e2d3502
Herzen, Julia
2f599af5-2bb2-481c-828f-22c05ceabc3f
Thibault, Pierre
e4745a02-fff6-442d-b026-a6c64e4bcf8b
Savatović, Sara, De Marco, Fabio, Riedel, Mirko, Laundon, Davis J., Regner, Michèle Louise, Hammel, Jörg U., Lewis, Rohan M., Herzen, Julia and Thibault, Pierre
(2024)
Extending the field-of-view of speckle-based microtomography with the UMPA model.
Muller, Bert and Wang, Ge
(eds.)
In Developments in X-Ray Tomography XV.
vol. 13152,
SPIE.
10 pp
.
(doi:10.1117/12.3027762).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Phase-contrast computed tomography enables the visualization of weakly-absorbing samples with high contrast. Speckle-based imaging (SBI) is a phase-sensitive X-ray imaging technique that requires the use of a wavefront marker (typically a sandpaper) to retrieve multi-modal information: absorption, refraction and scattering. These quantities are derived by analyzing the distortions in a reference pattern generated when the sample is inserted into the beam. The Unified Modulated Pattern Analysis (UMPA) model is a speckle-tracking method capable of processing such datasets. While high-resolution tomographic reconstructions can be achieved at the synchrotron, there is usually a trade-off with sample dimensions. Here, we use UMPA with a multi-frame approach for signal retrieval, enabling the expansion of the reconstructed field-of-view (FOV) by moving the sample instead of the modulator transversely to the beam. We demonstrate this technique on a human placental tissue sample.
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More information
Published date: 18 October 2024
Venue - Dates:
15th SPIE Conference on Developments in X-Ray Tomography, , San Diego, United States, 2024-08-19 - 2024-08-22
Keywords:
microtomography, Speckle-based imaging, synchrotron, UMPA
Identifiers
Local EPrints ID: 498174
URI: http://eprints.soton.ac.uk/id/eprint/498174
ISSN: 0277-786X
PURE UUID: c62d20e6-e2ec-4218-923e-865d40140c43
Catalogue record
Date deposited: 11 Feb 2025 18:02
Last modified: 12 Feb 2025 03:05
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Contributors
Author:
Sara Savatović
Author:
Fabio De Marco
Author:
Mirko Riedel
Author:
Davis J. Laundon
Author:
Michèle Louise Regner
Author:
Jörg U. Hammel
Author:
Julia Herzen
Author:
Pierre Thibault
Editor:
Bert Muller
Editor:
Ge Wang
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