Usefulness of pituitary high-resolution 3D MRI with deep-learning-based reconstruction for perioperative evaluation of pituitary adenomas.

Abstract

Authors

• Yuka Ishimoto
  Department of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
• Satoru Ide
  Department of Radiology, University of Occupational and Environmental Health, School of Medicine.
• Keita Watanabe
  Open Innovation Institute, Kyoto University, Kyoto, Japan.
• Kazuhiko Oyu
  Department of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
• Sera Kasai
  Department of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
• Yoshihito Umemura
  Department of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
• Miho Sasaki
  Department of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
• Haruka Nagaya
  Department of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori, Japan.
• Soichiro Tatsuo
  Department of Radiology, Hirosaki University Graduate School of Medicine.
• Atsushi Nozaki
  GE Healthcare, Tokyo, Japan.
• Yoichiro Ikushima
  GE Healthcare, Tokyo, Japan.
• Tetsuya Wakayama
  MR Application and Workflow, GE Healthcare.
• Kenichiro Asano
  Department of Neurosurgery, Hirosaki University School of Medicine, Hirosaki, Aomori, Japan.
• Atsushi Saito
  Institute of Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan.
• Masahiko Tomiyama
  Department of Neurology, Hirosaki University Graduate School of Medicine.
• Shingo Kakeda
  Department of Radiology, Hirosaki University Graduate School of Medicine.

Keywords

External Resources