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

Abstract

Authors

• Judith Herrmann
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen, Germany.
• Gabriel Keller
  Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.
• Sebastian Gassenmaier
  Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
• Dominik Nickel
  MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
• Gregor Koerzdoerfer
  MR Applications Predevelopment, Siemens Healthcare GmbH, Allee am Roethelheimpark 2, 91052, Erlangen, Germany.
• Mahmoud Mostapha
  Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States of America. Electronic address: mahmoudm@cs.unc.edu.
• Haidara Almansour
  From the Department of Diagnostic and Interventional Radiology, Eberhard Karls University, Tuebingen University Hospital, Tuebingen.
• Saif Afat
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen, Germany.
• Ahmed E Othman
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen, Germany; Department of Neuroradiology, University Medical Centre, Johannes Gutenberg University Mainz, 55131 Mainz, Germany. Electronic address: ahmed.e.othman@googlemail.com.

Keywords

External Resources