Enabling AI-Generated Content for Gadolinium-Free Contrast-Enhanced Breast Magnetic Resonance Imaging.

Journal: Journal of magnetic resonance imaging : JMRI
PMID:

Abstract

BACKGROUND: There is increasing interest in utilizing AI-generated content for gadolinium-free contrast-enhanced breast MRI.

Authors

  • Pingping Wang
    School of Electrical and Information Engineering, Tianjin University, 300072, Tianjin, China.
  • Hongyu Wang
    School of Information Science and Technology, Northwest University, Xi'an, Shaanxi, China.
  • Pin Nie
    Department of Xi'an International Medical Center Hospital, Northwest University, Xi'an, China.
  • Yanli Dang
    Department of Xi'an International Medical Center Hospital, Northwest University, Xi'an, China.
  • Rumei Liu
    Department of Xi'an International Medical Center Hospital, Northwest University, Xi'an, China.
  • Mingzhu Qu
    Department of Xi'an International Medical Center Hospital, Northwest University, Xi'an, China.
  • Jiawei Wang
    Biomedicine Discovery Institute, Monash University, VIC 3800, Australia.
  • Gengming Mu
    Department of Xi'an International Medical Center Hospital, Northwest University, Xi'an, China.
  • Tianju Jia
    Department of Xi'an International Medical Center Hospital, Northwest University, Xi'an, China.
  • Lei Shang
    Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, Xi'an, China.
  • Kaiguo Zhu
    Department of Xi'an International Medical Center Hospital, Northwest University, Xi'an, China.
  • Jun Feng
    Linping Hospital of Integrated Traditional Chinese and Western, Medicine, Hangzhou, Zhejiang, China.
  • Baoying Chen
    Imaging Diagnosis and Treatment Center, Xi'an International Medical Center Hospital, Xi'an, 710100, P.R. China. Electronic address: chenby128@163.com.