Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction

Abstract Dynamic tomography has become an important technique to study fluid flow processes in porous media. The use of laboratory X-ray tomography instruments is, however, limited by their low X-ray brilliance. The prolonged exposure times, in turn, greatly limit temporal resolution. We have develo...

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Autores principales:	Peter Winkel Rasmussen, Henning Osholm Sørensen, Stefan Bruns, Anders Bjorholm Dahl, Anders Nymark Christensen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/96fba20dd6b549f285f7387f8af553a6
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spelling	oai:doaj.org-article:96fba20dd6b549f285f7387f8af553a62021-12-02T17:40:02ZImproved dynamic imaging of multiphase flow by constrained tomographic reconstruction10.1038/s41598-021-91776-12045-2322https://doaj.org/article/96fba20dd6b549f285f7387f8af553a62021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91776-1https://doaj.org/toc/2045-2322Abstract Dynamic tomography has become an important technique to study fluid flow processes in porous media. The use of laboratory X-ray tomography instruments is, however, limited by their low X-ray brilliance. The prolonged exposure times, in turn, greatly limit temporal resolution. We have developed a tomographic reconstruction algorithm that maintains high image quality, despite reducing the exposure time and the number of projections significantly. Our approach, based on the Simultaneous Iterative Reconstruction Technique, mitigates the problem of few and noisy exposures by utilising a high-quality scan of the system before the dynamic process is started. We use the high-quality scan to initialise the first time step of the dynamic reconstruction. We further constrain regions of the dynamic reconstruction with a segmentation of the static system. We test the performance of the algorithm by reconstructing the dynamics of fluid separation in a multiphase system. The algorithm is compared quantitatively and qualitatively with several other reconstruction algorithms and we show that it can maintain high image quality using only a fraction of the normally required number of projections and with a substantially larger noise level. By robustly allowing fewer projections and shorter exposure, our algorithm enables the study of faster flow processes using laboratory tomography instrumentation but it can also be used to improve the reconstruction quality of dynamic synchrotron experiments.Peter Winkel RasmussenHenning Osholm SørensenStefan BrunsAnders Bjorholm DahlAnders Nymark ChristensenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Peter Winkel Rasmussen Henning Osholm Sørensen Stefan Bruns Anders Bjorholm Dahl Anders Nymark Christensen Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction
description	Abstract Dynamic tomography has become an important technique to study fluid flow processes in porous media. The use of laboratory X-ray tomography instruments is, however, limited by their low X-ray brilliance. The prolonged exposure times, in turn, greatly limit temporal resolution. We have developed a tomographic reconstruction algorithm that maintains high image quality, despite reducing the exposure time and the number of projections significantly. Our approach, based on the Simultaneous Iterative Reconstruction Technique, mitigates the problem of few and noisy exposures by utilising a high-quality scan of the system before the dynamic process is started. We use the high-quality scan to initialise the first time step of the dynamic reconstruction. We further constrain regions of the dynamic reconstruction with a segmentation of the static system. We test the performance of the algorithm by reconstructing the dynamics of fluid separation in a multiphase system. The algorithm is compared quantitatively and qualitatively with several other reconstruction algorithms and we show that it can maintain high image quality using only a fraction of the normally required number of projections and with a substantially larger noise level. By robustly allowing fewer projections and shorter exposure, our algorithm enables the study of faster flow processes using laboratory tomography instrumentation but it can also be used to improve the reconstruction quality of dynamic synchrotron experiments.
format	article
author	Peter Winkel Rasmussen Henning Osholm Sørensen Stefan Bruns Anders Bjorholm Dahl Anders Nymark Christensen
author_facet	Peter Winkel Rasmussen Henning Osholm Sørensen Stefan Bruns Anders Bjorholm Dahl Anders Nymark Christensen
author_sort	Peter Winkel Rasmussen
title	Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction
title_short	Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction
title_full	Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction
title_fullStr	Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction
title_full_unstemmed	Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction
title_sort	improved dynamic imaging of multiphase flow by constrained tomographic reconstruction
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/96fba20dd6b549f285f7387f8af553a6
work_keys_str_mv	AT peterwinkelrasmussen improveddynamicimagingofmultiphaseflowbyconstrainedtomographicreconstruction AT henningosholmsørensen improveddynamicimagingofmultiphaseflowbyconstrainedtomographicreconstruction AT stefanbruns improveddynamicimagingofmultiphaseflowbyconstrainedtomographicreconstruction AT andersbjorholmdahl improveddynamicimagingofmultiphaseflowbyconstrainedtomographicreconstruction AT andersnymarkchristensen improveddynamicimagingofmultiphaseflowbyconstrainedtomographicreconstruction
_version_	1718379777042153472

Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction

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