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Approximated analytical characterization of the steady-state chemical exchange saturation transfer (CEST) signals.

Tao JinSeong-Gi Kim
Published in: Magnetic resonance in medicine (2019)
These approximate analytical solutions can provide insights to the understanding of CEST signal property and help the optimization of saturation parameters and the interpretation of CEST data.
Keyphrases
  • liquid chromatography
  • big data
  • machine learning