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

Herrmann, Judith; Keller, Gabriel; Gassenmaier, Sebastian; Nickel, Dominik; Koerzdoerfer, Gregor; Mostapha, Mahmoud; Almansour, Haidara; Afat, Saif; Othman, Ahmed

dc.contributor.author	Herrmann, Judith
dc.contributor.author	Keller, Gabriel
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