Dual-type deep learning-based image reconstruction for advanced denoising and super-resolution processing in head and neck T2-weighted imaging.

Abstract

Authors

• Noriyuki Fujima
  Department of Radiology, Boston Medical Center, Boston University School of Medicine, FGH Building, 3rd Floor, 820 Harrison Avenue, Boston, MA, 02118, USA.
• Yukie Shimizu
  Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14 W5, Kita-Ku, Sapporo, 060-8638, Japan.
• Yohei Ikebe
  Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14 W5, Kita-Ku, Sapporo, Hokkaido, 060-8648, Japan.
• Hiroyuki Kameda
  School of Computer Science, Tokyo University of Technology, 1401-1 Katakura-machi, Hachioji-shi, Tokyo 192-0982, Japan.
• Taisuke Harada
  Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, N15 W7, Kita-Ku, Sapporo, Hokkaido, 060-8638, Japan.
• Nayuta Tsushima
  Department of Otolaryngology-Head and Neck Surgery, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, N15 W7, Kita Ku, Sapporo, 060-8638, Japan.
• Satoshi Kano
  Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, kita 15, nishi 7, kita-ku, Sapporo, Hokkaido, 060-8638, Japan.
• Akihiro Homma
  Otolaryngology-Head and Neck Surgery, Hokkaido University Graduate School of Medicine, kita 15, nishi 7, kita-ku, Sapporo, Hokkaido, 060-8638, Japan.
• Jihun Kwon
  MR Clinical Science, Philips Japan Ltd.
• Masami Yoneyama
  Philips Japan, Konan 2-13-37, Minato-ku, Tokyo 108-8507, Japan.
• Kohsuke Kudo
  Departments of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, kita 15, nishi 7, kita-ku, Sapporo, Hokkaido, 060-8638, Japan.

Keywords

External Resources