Improved Image Quality Through Deep Learning Acceleration of Gradient-Echo Acquisitions in Uterine MRI: First Application with the Female Pelvis.

Journal: Academic radiology
PMID: 39843279

Abstract

RATIONALE AND OBJECTIVES: The aim of this study was to compare the image quality of a deep learning (DL)-accelerated volumetric interpolated breath-hold examination (VIBE) sequence with a standard (ST) VIBE sequence in assessing the uterus.

Authors

  • Daniel Hausmann
    Department of Radiology, Kantonsspital Baden, affiliated Hospital for Research and Teaching of the Faculty of Medicine of the University of Zurich, Im Ergel 1, 5404 Baden, Switzerland (D.H., A.M., R.R., J.H., R.A.K.-H.); Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany (D.H.). Electronic address: daniel.hausmann@ksb.ch.
  • Antonio Marketin
    Department of Radiology, Kantonsspital Baden, affiliated Hospital for Research and Teaching of the Faculty of Medicine of the University of Zurich, Im Ergel 1, 5404 Baden, Switzerland (D.H., A.M., R.R., J.H., R.A.K.-H.).
  • Roman Rotzinger
    Department of Radiology, Kantonsspital Baden, affiliated Hospital for Research and Teaching of the Faculty of Medicine of the University of Zurich, Im Ergel 1, 5404 Baden, Switzerland (D.H., A.M., R.R., J.H., R.A.K.-H.).
  • Jakob Heimer
    Institute of Forensic Medicine, University of Zurich, Winterthurerstrasse 190/52, 8057, Zurich, Switzerland.
  • Dominik Nickel
    MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Elisabeth Weiland
    MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Rahel A Kubik-Huch
    Department of Radiology, Kantonsspital Baden, 1 Im Ergel, Baden, Switzerland.

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