Accelerated T2-weighted MRI of the liver at 3 T using a single-shot technique with deep learning-based image reconstruction: impact on the image quality and lesion detection.

Journal: Abdominal radiology (New York)
Published Date: Sep 28, 2022

Abstract

PURPOSE: Fat-suppressed T2-weighted imaging (T2-FS) requires a long scan time and can be wrought with motion artifacts, urging the development of a shorter and more motion robust sequence. We compare the image quality of a single-shot T2-weighted MRI prototype with deep-learning-based image reconstruction (DL HASTE-FS) with a standard T2-FS sequence for 3 T liver MRI.

Authors

  • Luke A Ginocchio
    Department of Radiology, NYU Langone Medical Center, 660 First Avenue, 3rd Floor, New York, NY 10016.
  • Paul N Smereka
    Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, 660 First Avenue, 3rd Floor, New York, NY, 10016, USA.
  • Angela Tong
    Department of Radiology, NYU Langone Health, 660 1st Avenue, 3rd Floor, New York, NY, 10016, USA.
  • Vinay Prabhu
    Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, 660 First Avenue, 3rd Floor, New York, NY, 10016, USA.
  • Dominik Nickel
    MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Simon Arberet
    Digital Technology & Innovation, Siemens Medical Solutions USA, Inc., Princeton, NJ, USA.
  • Hersh Chandarana
    Department of Radiology, NYU Langone Health, 660 1st Avenue, 3rd Floor, New York, NY, 10016, USA.
  • Krishna P Shanbhogue
    Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, 660 First Avenue, 3rd Floor, New York, NY, 10016, USA.

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