Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To investigate the feasibility of automatically identifying normal scans in ultrafast breast MRI with artificial intelligence (AI) to increase efficiency and reduce workload.

Authors

  • Xueping Jing
    Department of Automation, College of Electrical Engineering and Information Technology, Sichuan University, Chengdu, China.
  • Mirjam Wielema
    Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
  • Ludo J Cornelissen
    Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
  • Margo van Gent
    Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
  • Willie M Iwema
    Faculty of Medical Sciences, University of Groningen, Antonius Deusinglaan 1, 9713, AV, Groningen, The Netherlands.
  • Sunyi Zheng
  • Paul E Sijens
    Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
  • Matthijs Oudkerk
    University Medical Center, Groningen, The Netherlands.
  • Monique D Dorrius
  • Peter M A van Ooijen
    University Medical Center Groningen, Center for Medical Imaging - North East Netherlands, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.