Evaluation of 3D T1-weighted spoiled gradient echo MR image quality using artificial intelligence image reconstruction techniques in the pediatric brain.

Journal: Neuroradiology
Published Date:

Abstract

PURPOSE: To assess image quality and diagnostic confidence of 3D T1-weighted spoiled gradient echo (SPGR) MRI using artificial intelligence (AI) reconstruction.

Authors

  • Usha D Nagaraj
    Department of Radiology and Medical Imaging, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229-3026, USA. usha.nagaraj@cchmc.org.
  • Jonathan R Dillman
    Department of Radiology, Division of Thoracoabdominal Imaging, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, 3333 Burnet Ave., Cincinnati, OH, 45229-3039, USA. jonathan.dillman@cchmc.org.
  • Jean A Tkach
    Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
  • Joshua S Greer
    Department of Radiology and Medical Imaging, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229-3026, USA.
  • James L Leach
    Department of Radiology and Medical Imaging, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH, 45229-3026, USA.