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dc.contributor.authorLi, Haoen
dc.contributor.authorPriest, Andrew Nen
dc.contributor.authorPatterson, Ilseen
dc.contributor.authorGraves, Martinen
dc.contributor.authorLomas, Daviden
dc.date.accessioned2018-12-12T00:30:18Z
dc.date.available2018-12-12T00:30:18Z
dc.date.issued2019-03en
dc.identifier.issn0740-3194
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/286676
dc.description.abstractPurpose: To evaluate the performance of Acceleration-Dependent Vascular Anatomy for Non-Contrast-Enhanced MR Venography (ADVANCE-MRV) in femoral veins and investigate whether venous signal uniformity can be improved by applying multiple acquisitions with different flow-suppressions or multiple flow-suppressions in one acquisition. Method: ADVANCE-MRV uses flow-sensitised modules to acquire a dark-artery image set and a dark-artery-vein set, which are subsequently subtracted. Ten healthy volunteers were imaged, using the ADVANCE-MRV sequence with improved venous suppression uniformity in the dark-artery-vein images achieved by applying multiple flow-suppressions in the same acquisition or by combining multiple images acquired with different flow-suppressions. The performance of the improved technique was also evaluated in thirteen patients with lower-limb deep venous thrombosis (DVT). Results: Multiple-preparation and multiple-acquisition approaches all improved venous signal uniformity and reduced the signal void artefacts observed in the original ADVANCE-MRV images. The multiple-acquisition approaches achieved excellent blood signal uniformity and intensity, albeit at the cost of an increase in the total acquisition time. The double-preparation approach demonstrated good performance in all measurements, providing a good compromise between signal uniformity and acquisition time. The blood signal spatial variation and its variation using different gradient amplitudes were reduced by 20% and 29%. All patient images showed uniform and bright venous signal in non-occluded sections of vein. Conclusion: The enhanced ADVANCE-MRV methods substantially improved signal uniformity in healthy volunteers and patients with known DVT. The double-preparation approach gave good quality femoral vein images providing improved venous signal uniformity without increasing acquisition time in comparison to the original sequence.
dc.description.sponsorshipAddenbrooke’s Charitable Trust NIHR Cambridge Biomedical Research Centre China Scholarship Council Cambridge Trust
dc.format.mediumPrint-Electronicen
dc.languageengen
dc.publisherWiley-Blackwell
dc.subjectLower Extremityen
dc.subjectArteriesen
dc.subjectVeinsen
dc.subjectFemoral Veinen
dc.subjectPopliteal Veinen
dc.subjectHumansen
dc.subjectVenous Thrombosisen
dc.subjectImage Interpretation, Computer-Assisteden
dc.subjectImaging, Three-Dimensionalen
dc.subjectMagnetic Resonance Angiographyen
dc.subjectPhlebographyen
dc.subjectReproducibility of Resultsen
dc.subjectAlgorithmsen
dc.subjectMotionen
dc.subjectComputer Simulationen
dc.subjectAdolescenten
dc.subjectAdulten
dc.subjectAgeden
dc.subjectMiddle Ageden
dc.subjectFemaleen
dc.subjectMaleen
dc.subjectYoung Adulten
dc.subjectHealthy Volunteersen
dc.titleSubtractive non-contrast-enhanced MRI of lower limb veins using multiple flow-dependent preparation strategies.en
dc.typeArticle
prism.endingPage1783
prism.issueIdentifier3en
prism.publicationDate2019en
prism.publicationNameMagnetic resonance in medicineen
prism.startingPage1769
prism.volume81en
dc.identifier.doi10.17863/CAM.33983
dcterms.dateAccepted2018-08-24en
rioxxterms.versionofrecord10.1002/mrm.27530en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2019-03en
dc.contributor.orcidGraves, Martin [0000-0003-4327-3052]
dc.contributor.orcidLomas, David [0000-0003-2904-8617]
dc.identifier.eissn1522-2594
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idAddenbrooke's Charitable Trust (ACT) (9378)
pubs.funder-project-idCambridge University Hospitals NHS Foundation Trust (CUH) (RG52525)
rioxxterms.freetoread.startdate2019-11-16


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