Comparison of convolutional-neural-networks-based method and LCModel on the quantification of in vivo magnetic resonance spectroscopy.

Journal: Magma (New York, N.Y.)
PMID: 37713007

Abstract

BACKGROUND: Quantification of metabolites concentrations in institutional unit (IU) is important for inter-subject and long-term comparisons in the applications of magnetic resonance spectroscopy (MRS). Recently, deep learning (DL) algorithms have found a variety of applications on the process of MRS data. A quantification strategy compatible to DL base MRS spectral processing method is, therefore, useful.

Authors

  • Yu-Long Huang
    Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
  • Yi-Ru Lin
    Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
  • Shang-Yueh Tsai
    Graduate Institute of Applied Physics, National Chengchi University, Taipei, Taiwan.

Keywords

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