Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol

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dc.contributor.author Herrmann, Judith
dc.contributor.author Keller, Gabriel L.
dc.contributor.author Gassenmaier, Sebastian
dc.contributor.author Almansour, Haidara
dc.contributor.author Afat, Saif
dc.contributor.author Othman, Ahmed
dc.date.accessioned 2024-09-24T10:13:56Z
dc.date.available 2024-09-24T10:13:56Z
dc.date.issued 2022
dc.identifier.issn 0938-7994
dc.identifier.uri http://hdl.handle.net/10900/157685
dc.language.iso en de_DE
dc.publisher Berlin: Springer de_DE
dc.relation.uri https://dx.doi.org/10.1007/s00330-022-08753-z de_DE
dc.subject.ddc 610 de_DE
dc.title Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol de_DE
dc.type Article de_DE
utue.publikation.seiten 6215-6229 de_DE
utue.personen.roh Herrmann, Judith
utue.personen.roh Keller, Gabriel
utue.personen.roh Gassenmaier, Sebastian
utue.personen.roh Nickel, Dominik
utue.personen.roh Koerzdoerfer, Gregor
utue.personen.roh Mostapha, Mahmoud
utue.personen.roh Almansour, Haidara
utue.personen.roh Afat, Saif
utue.personen.roh Othman, Ahmed
dcterms.isPartOf.ZSTitelID European Radiology de_DE
dcterms.isPartOf.ZS-Issue 9 de_DE
dcterms.isPartOf.ZS-Volume 32 de_DE


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