HYDRA: Hybrid deep magnetic resonance fingerprinting.

Journal: Medical physics
Published Date: Sep 10, 2019

Abstract

PURPOSE: Magnetic resonance fingerprinting (MRF) methods typically rely on dictionary matching to map the temporal MRF signals to quantitative tissue parameters. Such approaches suffer from inherent discretization errors, as well as high computational complexity as the dictionary size grows. To alleviate these issues, we propose a HYbrid Deep magnetic ResonAnce fingerprinting (HYDRA) approach, referred to as HYDRA.

Authors

  • Pingfan Song
    Department of Electronic and Electrical Engineering, Imperial College, London, UK.
  • Yonina C Eldar
    Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 7610001, Israel.
  • Gal Mazor
    Department of Electrical Engineering, Technion - Israel Institute of Technology, Haifa, Israel.
  • Miguel R D Rodrigues
    Department of Electronic and Electrical Engineering, University College London, London, UK.

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