Accelerated Synthetic MRI with Deep Learning-Based Reconstruction for Pediatric Neuroimaging.

Journal: AJNR. American journal of neuroradiology
Published Date: Sep 29, 2022

Abstract

BACKGROUND AND PURPOSE: Synthetic MR imaging is a time-efficient technique. However, its rather long scan time can be challenging for children. This study aimed to evaluate the clinical feasibility of accelerated synthetic MR imaging with deep learning-based reconstruction in pediatric neuroimaging and to investigate the impact of deep learning-based reconstruction on image quality and quantitative values in synthetic MR imaging.

Authors

  • E Kim
    Severance Biomedical Science Institute.
  • H-H Cho
    Department of Radiology and Medical Research Institute (H.-H.C.), College of Medicine, Ewha Womans University, Seoul, South Korea.
  • S H Cho
    Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea.
  • B Park
    Department of Surgery, M.D. Memorial Sloan Kettering Cancer Centre, New York, USA.
  • J Hong
    Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea.
  • K M Shin
    Radiology (S.H.C., B.P., J.H., K.M.S., S.M.L.), School of Medicine, Kyungpook National University, Daegu, South Korea.
  • M J Hwang
    GE Healthcare Korea (M.J.H.), Seoul, South Korea.
  • S K You
    Department of Radiology (S.K.Y.), Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, South Korea.
  • S M Lee
    Colorectal Cancer Center, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University , 807 Hogukro, Buk-gu, Daegu, 41404, South Korea.

Keywords

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