Unsupervised learning for magnetization transfer contrast MR fingerprinting: Application to CEST and nuclear Overhauser enhancement imaging.

Journal: Magnetic resonance in medicine
Published Date: Apr 1, 2021

Abstract

PURPOSE: To develop a fast, quantitative 3D magnetization transfer contrast (MTC) framework based on an unsupervised learning scheme, which will provide baseline reference signals for CEST and nuclear Overhauser enhancement imaging.

Authors

  • Beomgu Kang
    Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
  • Byungjai Kim
    School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
  • Michael Schär
    Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • HyunWook Park
    Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.
  • Hye-Young Heo
    Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, MD, USA; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA. Electronic address: hheo1@jhmi.edu.

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