Improved Resolution and Image Quality of Musculoskeletal Magnetic Resonance Imaging using Deep Learning-based Denoising Reconstruction: A Prospective Clinical Study.

Abstract

Authors

• Hung P Do
  Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California.
• Carly A Lockard
  Steadman Philippon Research Institute, 181 West Meadow Dr, Vail, CO, 81657, USA.
• Dawn Berkeley
  Canon Medical Systems USA, Inc., 2441 Michelle Drive, Tustin, CA, 92780, USA.
• Brian Tymkiw
  Canon Medical Systems USA, Inc., 2441 Michelle Drive, Tustin, CA, 92780, USA.
• Nathan Dulude
  The Steadman Clinic, 181 West Meadow Drive, Suite 400, Vail, CO, 81657, USA.
• Scott Tashman
  Steadman Philippon Research Institute, 181 West Meadow Dr, Vail, CO, 81657, USA.
• Garry Gold
  Department of Radiation Oncology, Stanford University, Stanford, CA, United States of America; Department of Radiology, Stanford University, Stanford, CA, United States of America. Electronic address: gold@stanford.edu.
• Jordan Gross
  University of Southern California, 3551 Trousdale Pkwy, Los Angeles, CA, 90089, USA.
• Erin Kelly
  Canon Medical Systems USA, Inc., 2441 Michelle Drive, Tustin, CA, 92780, USA.
• Charles P Ho
  Steadman Philippon Research Institute, 181 West Meadow Dr, Vail, CO, 81657, USA.

Keywords

External Resources