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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 E.
Afiliação
  • Herrmann J; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
  • Keller G; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
  • Gassenmaier S; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
  • Nickel D; MR Applications Predevelopment, Siemens Healthcare GmbH, Allee am Roethelheimpark 2, 91052, Erlangen, Germany.
  • Koerzdoerfer G; MR Applications Predevelopment, Siemens Healthcare GmbH, Allee am Roethelheimpark 2, 91052, Erlangen, Germany.
  • Mostapha M; Digital Technology & Innovation, Siemens Medical Solutions USA, Inc., Princeton, NJ, USA.
  • Almansour H; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
  • Afat S; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
  • Othman AE; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany. ahmed.e.othman@googlemail.com.
Eur Radiol ; 32(9): 6215-6229, 2022 Sep.
Article em En | MEDLINE | ID: mdl-35389046
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento Tridimensional / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento Tridimensional / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article