Combined Deep Learning-based Super-Resolution and Partial Fourier Reconstruction for Gradient Echo Sequences in Abdominal MRI at 3 Tesla: Shortening Breath-Hold Time and Improving Image Sharpness and Lesion Conspicuity.

Abstract

Authors

• Haidara Almansour
  From the Department of Diagnostic and Interventional Radiology, Eberhard Karls University, Tuebingen University Hospital, Tuebingen.
• Judith Herrmann
  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.
• Andreas Lingg
  From the Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen.
• Marcel Dominik Nickel
  MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany.
• Stephan Kannengiesser
  MR Application Predevelopment, Siemens Healthineers AG, Erlangen, Germany.
• Simon Arberet
  Digital Technology & Innovation, Siemens Medical Solutions USA, Inc., Princeton, NJ, USA.
• 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.
• Saif Afat
  Department of Diagnostic and Interventional Radiology, Eberhard-Karls-University Tuebingen, Tuebingen, Germany.

Keywords

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