Ultrafast MRI using deep learning echoplanar imaging for a comprehensive assessment of acute ischemic stroke.

Journal: European radiology
PMID: 36928567

Abstract

OBJECTIVES: Acute ischemic stroke (AIS) is an emergency requiring both fast and informative MR sequences. We aimed to assess the performance of an artificial intelligence-enhanced ultrafast (UF) protocol, compared to the reference protocol, in the AIS management.

Authors

  • Sebastien Verclytte
    Imaging Department, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France. verclytte.sebastien@ghicl.net.
  • Robin Gnanih
    Imaging Department, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France.
  • Stephane Verdun
    Biostatistics Department - Delegation for Clinical Research and Innovation, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France.
  • Thorsten Feiweier
    Siemens Healthcare GmbH, Erlangen, Germany.
  • Bryan Clifford
    Siemens Medical Solutions USA, Boston, Massachusetts, USA.
  • Khalid Ambarki
    Siemens Healthcare SAS, Saint-Denis 93200, France.
  • Marta Pasquini
    Department of Neurology, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France.
  • Juliette Ding
    Imaging Department, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France.

Keywords

External Resources

Popular Topics
Recent Journals