The scientific evidence of commercial AI products for MRI acceleration: a systematic review.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: This study explores the methods employed by commercially available AI products to accelerate MRI protocols and investigates the strength of their diagnostic image quality assessment.

Authors

  • Stefan J Fransen
    University Medical Centre Groningen, Department of Radiology, Hanzeplein 1, 9713 GZ, Groningen, the Netherlands. Electronic address: S.j.fransen@umcg.nl.
  • Christian Roest
    Medical Imaging Center, Departments of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Meditech Building, Room 305, Hanzeplein 1, 9700 RB, Groningen, The Netherlands.
  • Frank F J Simonis
    Technical University Twente, TechMed Centre, Hallenweg 5, 7522 NH, Enschede, the Netherlands.
  • Derya Yakar
    Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. Electronic address: d.yakar@umcg.nl.
  • Thomas C Kwee
    Department of Radiology, Medical Imaging Center, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.