Deep learning HASTE sequence compared with T2-weighted BLADE sequence for liver MRI at 3 Tesla: a qualitative and quantitative prospective study.

Journal: European radiology
Published Date: May 16, 2023

Abstract

OBJECTIVES: To qualitatively and quantitatively compare a single breath-hold fast half-Fourier single-shot turbo spin echo sequence with deep learning reconstruction (DL HASTE) with T2-weighted BLADE sequence for liver MRI at 3 T.

Authors

  • Pierre Wary
    Department of Adult Radiology, CHRU de Nancy, 5 Rue du Morvan, 54500, Vandoeuvre-lès-Nancy, France. P.WARY@chru-nancy.fr.
  • Gabriela Hossu
    INSERM U1254, IADI, Université de Lorraine, 54511 Vandoeuvre-les-Nancy, France; CIC-IT, CHRU Nancy, Université de Lorraine, 54000 Nancy, France.
  • Khalid Ambarki
    Siemens Healthcare SAS, Saint-Denis 93200, France.
  • Dominik Nickel
    MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
  • Simon Arberet
    Digital Technology & Innovation, Siemens Medical Solutions USA, Inc., Princeton, NJ, USA.
  • Julien Oster
  • Xavier Orry
    Department of Adult Radiology, CHRU de Nancy, 5 Rue du Morvan, 54500, Vandoeuvre-lès-Nancy, France.
  • Valérie Laurent
    Department of Adult Radiology, CHRU de Nancy, 5 Rue du Morvan, 54500, Vandoeuvre-lès-Nancy, France.

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