Deep Learning Image Processing Enables 40% Faster Spinal MR Scans Which Match or Exceed Quality of Standard of Care : A Prospective Multicenter Multireader Study.

Journal: Clinical neuroradiology
Published Date:

Abstract

OBJECTIVE: This prospective multicenter multireader study evaluated the performance of 40% scan-time reduced spinal magnetic resonance imaging (MRI) reconstructed with deep learning (DL).

Authors

  • S Bash
    RadNet-San Fernando Interventional Radiology, 1510 Cotner Ave., 90025, Los Angeles, CA, USA.
  • B Johnson
    Rayus Radiology, 5775 Wayzata Blvd. Suite 190, 55416, St. Louis Park, MN, USA.
  • W Gibbs
    Dept. of Neuroradiology, Mayo Clinic, 5777 E. Mayo Blvd., 85054, Phoenix, AZ, USA.
  • T Zhang
    a School of Mathematics and Statistics, Xidian University , Xi'an , PR China.
  • A Shankaranarayanan
    Subtle Medical, 883 Santa Cruz Ave, 94025, Menlo Park, CA, USA.
  • L N Tanenbaum
    RadNet-San Fernando Interventional Radiology, 1510 Cotner Ave., 90025, Los Angeles, CA, USA. nuromri@gmail.com.