The Impact of Model-based Deep-learning Reconstruction Compared with that of Compressed Sensing-Sensitivity Encoding on the Image Quality and Precision of Cine Cardiac MR in Evaluating Left-ventricular Volume and Strain: A Study on Healthy Volunteers.

Abstract

Authors

• Satonori Tsuneta
  Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, N14 W5, Kita-Ku, Sapporo, Hokkaido, 060-8648, Japan.
• Satoru Aono
  Department of Radiological Technology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan.
• Rina Kimura
  Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan.
• Jihun Kwon
  MR Clinical Science, Philips Japan Ltd.
• Noriyuki Fujima
  Department of Radiology, Boston Medical Center, Boston University School of Medicine, FGH Building, 3rd Floor, 820 Harrison Avenue, Boston, MA, 02118, USA.
• Kinya Ishizaka
  Dental Radiology, Department of Oral Health Science, Graduate School of Dental Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.
• Noriko Nishioka
  Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Hokkaido, Japan.
• Masami Yoneyama
  Philips Japan, Konan 2-13-37, Minato-ku, Tokyo 108-8507, Japan.
• Fumi Kato
  Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, North 14 West 5 Kita-ku, Sapporo, Hokkaido, 060-8648, Japan. fumikato@med.hokudai.ac.jp.
• Kazuyuki Minowa
  Faculty of Dental Medicine, Department of Radiology, Hokkaido University, N13 W7, Kita-ku, Sapporo, Hokkaido, 060-8586, 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

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