Evaluation of Image Quality and Scan Time Efficiency in Accelerated 3D T1-Weighted Pediatric Brain MRI Using Deep Learning-Based Reconstruction.

Journal: Korean journal of radiology
PMID: 39898398

Abstract

OBJECTIVE: This study evaluated the effect of an accelerated three-dimensional (3D) T1-weighted pediatric brain MRI protocol using a deep learning (DL)-based reconstruction algorithm on scan time and image quality.

Authors

  • Hyunsuk Yoo
    Lunit, Seoul, South Korea.
  • Hee Eun Moon
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Soojin Kim
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Da Hee Kim
    Division of Environmental Science & Ecological Engineering, College of Life Sciences & Biotechnology, Korea University 145, Anam-ro, Seongbuk-gu Seoul 02841 Korea lovewood@korea.ac.kr +82 2 3290 9753 +82 2 3290 3014.
  • Young Hun Choi
    Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 110-744, Korea. iater@snu.ac.kr.
  • Jeong-Eun Cheon
    Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea.
  • Joon Sung Lee
    GE Healthcare Korea, 416 Hangang-daero, Jung-gu, Seoul, 04637, Republic of Korea.
  • Seunghyun Lee
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA. Electronic address: seunghyun.lee.22@gmail.com.

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