Evaluation of T2W FLAIR MR image quality using artificial intelligence image reconstruction techniques in the pediatric brain.

Journal: Pediatric radiology
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) reconstruction techniques have the potential to improve image quality and decrease imaging time. However, these techniques must be assessed for safe and effective use in clinical practice.

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.