Deep Learning-reconstructed Parallel Accelerated Imaging for Knee MRI.

Journal: Current medical imaging
Published Date: Jan 1, 2024

Abstract

BACKGROUND: Deep learning (DL) can improve image quality by removing noise from accelerated MRI.

Authors

  • Sang-Min Lee
    Department of Orthopedics, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea.
  • Minwoo Kim
    School of Electronics and Information Engineering, Korea Aerospace University, Goyang-si 10540, Korea. minwoo@kau.kr.
  • Chankue Park
    Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea.
  • Dongeon Lee
    From the School of Biomedical Convergence Engineering, College of Information and BioMedical Engineering, Pusan National University.
  • Kang Soo Kim
    Siemens Healthineers Ltd, Seoul.
  • Hee Seok Jeong
    Department of Radiology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea.
  • Min-Hyeok Choi
    Department of Preventive and Occupational & Environmental Medicine, Pusan National University Yangsan Hospital, Pusan National University, Yangsan, Korea.

Keywords

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