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A generalized QUCESOP method with evaluating CEST peak overlap.

Yi Wang1, Yi-Xuan Sun2, Qiu-Yu Yang1

  • 1Public Health Science and Engineering College, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

NMR in Biomedicine
|January 15, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to accurately quantify chemical exchange saturation transfer (CEST) parameters by assessing overlapping peaks. The approach successfully quantifies solute concentrations and exchange rates, even with interfering signals.

Keywords:
chemical exchange saturation transferoverlappingquantification

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Area of Science:

  • Magnetic Resonance Imaging
  • Biophysical Chemistry
  • Medical Physics

Background:

  • Chemical Exchange Saturation Transfer (CEST) is a sensitive MRI technique for detecting low-concentration metabolites.
  • Quantifying CEST parameters like fractional concentration, exchange rate, and relaxation rate is crucial but challenging due to overlapping peaks from unknown solutes.
  • Existing methods lack a robust approach for assessing and correcting for peak overlap in CEST quantification.

Purpose of the Study:

  • To develop and validate a novel method for quantifying CEST parameters (fractional concentration, exchange rate, transverse relaxation rate) of specific solutes.
  • To establish a reliable method for assessing the degree of overlap between target CEST solute peaks and unknown interfering CEST peaks.
  • To improve the accuracy of CEST-based quantification in complex biological systems.

Main Methods:

  • A simplified model approximating interfering solute contributions linearly was proposed.
  • A CEST data acquisition scheme with varied saturation offsets and powers was employed.
  • Root Mean Square Error (RMSE) was utilized to evaluate peak overlap by comparing acquired and synthesized data trajectories.
  • Single-solute and multi-solute phantoms (including phosphocreatine) were used for validation.

Main Results:

  • The proposed method accurately quantified CEST parameters in phantoms under weak overlapping conditions.
  • RMSE effectively evaluated the degree of CEST peak overlap.
  • The method demonstrated feasibility in vivo, quantifying nuclear Overhauser effect in rat brains and phosphocreatine in rat skeletal muscles.
  • Results were consistent with previously reported findings, validating the approach.

Conclusions:

  • The developed method provides a robust framework for evaluating CEST peak overlap.
  • Accurate quantification of CEST parameters is achievable even in the presence of interfering signals, provided weak overlap conditions are met.
  • This approach enhances the reliability and accuracy of CEST imaging for metabolite quantification in biological tissues.