Ultra-High-Resolution T2-Weighted PROPELLER MRI of the Rectum With Deep Learning Reconstruction: Assessment of Image Quality and Diagnostic Performance.

Abstract

Authors

• Shohei Matsumoto
  From the Department of Radiology, Osaka University Graduate School of Medicine, Osaka, Japan (S.M., T.T., H.O., H.F., T.H., A.N., T.O., K.K., K.O., N.T.); MR Collaboration and Development, GE Healthcare, Tokyo, Japan (T.W.); MR Collaboration and Development, GE Healthcare, Austin, TX (X.W.); and Department of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan (T.M.).
• Takahiro Tsuboyama
  From the Department of Radiology, Osaka University Graduate School of Medicine.
• Hiromitsu Onishi
  From the Department of Radiology, Osaka University Graduate School of Medicine.
• Hideyuki Fukui
  Department of Radiology, Osaka University Graduate School of Medicine.
• Toru Honda
  Department of Radiology, Osaka University Graduate School of Medicine.
• Tetsuya Wakayama
  MR Application and Workflow, GE Healthcare.
• Xinzeng Wang
  MR Clinical Solutions and Research Collaborations, GE Healthcare, Houston, TX, USA.
• Takahiro Matsui
  Department of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan. Electronic address: matsuit@molpath.med.osaka-u.ac.jp.
• Atsushi Nakamoto
  From the Department of Radiology, Osaka University Graduate School of Medicine.
• Takashi Ota
  Department of Radiology, Osaka University Graduate School of Medicine.
• Kengo Kiso
  Department of Radiology, Osaka University Graduate School of Medicine.
• Kana Osawa
• Noriyuki Tomiyama
  Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.

Keywords

External Resources