Deep learning reconstruction in pediatric brain MRI: comparison of image quality with conventional T2-weighted MRI.

Journal: Neuroradiology
Published Date: Sep 26, 2022

Abstract

INTRODUCTION: Deep learning-based MRI reconstruction has recently been introduced to improve image quality. This study aimed to evaluate the performance of deep learning reconstruction in pediatric brain MRI.

Authors

  • Soo-Hyun Kim
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
  • Young Hun Choi
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea. iater@snu.ac.kr.
  • Joon Sung Lee
    GE Healthcare Korea, 416 Hangang-daero, Jung-gu, Seoul, 04637, Republic of Korea.
  • Seul Bi Lee
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
  • Yeon Jin Cho
  • Seung Hyun Lee
    Department of Surgery, Kosin University College of Medicine, Busan, Korea.
  • Su-Mi Shin
    Department of Radiology, SMG-SNU Boramae Medical Center, 20 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07061, Republic of Korea.
  • Jung-Eun Cheon
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea.

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