Deep learning reconstruction for accelerated 3-D magnetic resonance cholangiopancreatography.

Abstract

Authors

• Jan M Brendel
  Department of Radiology, Diagnostic and Interventional Radiology, University of Tübingen, 72076 Germany.
• Reza Dehdab
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls University, Hoppe-Seyler-Str. 3, 72076 Tuebingen, Germany (A.S.B., R.D., B.S., J.M., P.G., G.G., S.A., C.A.).
• Judith Herrmann
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen, Germany.
• Stephan Ursprung
  Department of Radiology and Cancer Research UK Cambridge Centre, University of Cambridge, Box 218, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0QQ, England.
• Sebastian Werner
• Haidara Almansour
  From the Department of Diagnostic and Interventional Radiology, Eberhard Karls University, Tuebingen University Hospital, Tuebingen.
• Elisabeth Weiland
  MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
• Dominik Nickel
  MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
• Konstantin Nikolaou
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str.3, 72076 Tübingen, Germany.
• Saif Afat
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen, Germany.
• Sebastian Gassenmaier
  Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.

Keywords

External Resources