Enhanced Image Quality and Comparable Diagnostic Performance of Prostate Fast Bi-MRI with Deep Learning Reconstruction.

Journal: Academic radiology
Published Date:

Abstract

RATIONAL AND OBJECTIVES: To evaluate image quality and diagnostic performance of prostate biparametric MRI (bi-MRI) with deep learning reconstruction (DLR).

Authors

  • Liting Shen
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 100050, Beijing, China (L.S., Y.Y., J.L., Y.C., Q.L., R.S., H.X., L.W., Z.Y.).
  • Ying Yuan
    Department of Radiology, Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China. Electronic address: yuany83@163.com.
  • Jin Liu
    School of Computer Science and Engineering, Central South University, Changsha, China.
  • Yue Cheng
  • Qian Liao
    Department of Oral and Cranio-maxillofacial Surgery, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Diseases, Shanghai, China.
  • Rongchao Shi
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
  • Tianyu Xiong
    Department of Urology, Beijing Friendship Hospital, Capital Medical University, 100050, Beijing, China (T.X.).
  • Hui Xu
    No 202 Hospital of People's Liberation Army, Liaoning 110003, China.
  • Liang Wang
    Information Department, Dazhou Central Hospital, Dazhou 635000, China.
  • Zhenghan Yang
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

Keywords

No keywords available for this article.