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Under-sampling and compressed sensing of 3D spatially-resolved displacement propagators in porous media using APGSTE-RARE MRI.

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cam.issuedOnline2018-10-15
dc.contributor.authorde Kort, Daan W
dc.contributor.authorHertel, Stefan A
dc.contributor.authorAppel, Matthias
dc.contributor.authorde Jong, Hilko
dc.contributor.authorMantle, Michael D
dc.contributor.authorSederman, Andrew J
dc.contributor.authorGladden, Lynn F
dc.contributor.orcidde Kort, Daan [0000-0002-8831-2011]
dc.contributor.orcidMantle, Mick [0000-0001-7977-3812]
dc.contributor.orcidSederman, Andy [0000-0002-7866-5550]
dc.contributor.orcidGladden, Lynn [0000-0001-9519-0406]
dc.date.accessioned2018-12-20T00:30:39Z
dc.date.available2018-12-20T00:30:39Z
dc.date.issued2019-02
dc.description.abstractA method for under-sampling and compressed sensing of 3D spatially-resolved propagators is presented and demonstrated for flow in a packed bed and a heterogeneous carbonate rock. By sampling only 12.5% of q,k-space, the experimental acquisition time was reduced by almost an order of magnitude. In particular, for both systems studied, a 3D image was acquired at 1 mm isotropic spatial resolution such that 134,400 local propagators were obtained. Data were acquired in ~1 h and ~11 h for the packed bed and rock, respectively. It is shown that spatial resolution and under-sampling using this implementation retains the quantitative nature of the propagator measurement, and differences between implementation of this measurement in two and three dimensions are identified. The potential for 3D spatially-resolved propagators to provide new insights into transport processes in porous media by characterisation of the statistical moments of the propagators is discussed.
dc.format.mediumPrint-Electronic
dc.identifier.doi10.17863/CAM.34524
dc.identifier.eissn1873-5894
dc.identifier.issn0730-725X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/287217
dc.languageeng
dc.language.isoeng
dc.publisherElsevier BV
dc.publisher.urlhttp://dx.doi.org/10.1016/j.mri.2018.08.014
dc.subjectFlow
dc.subjectPorous media
dc.subjectSpatially-resolved propagators
dc.subjectGeologic Sediments
dc.subjectImage Enhancement
dc.subjectImage Interpretation, Computer-Assisted
dc.subjectImaging, Three-Dimensional
dc.subjectMagnetic Resonance Imaging
dc.subjectPorosity
dc.subjectSignal Processing, Computer-Assisted
dc.titleUnder-sampling and compressed sensing of 3D spatially-resolved displacement propagators in porous media using APGSTE-RARE MRI.
dc.typeArticle
dcterms.dateAccepted2018-08-27
prism.endingPage31
prism.publicationDate2019
prism.publicationNameMagn Reson Imaging
prism.startingPage24
prism.volume56
rioxxterms.licenseref.startdate2019-02
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review
rioxxterms.versionAM
rioxxterms.versionofrecord10.1016/j.mri.2018.08.014

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