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Correcting unwanted diffusion weighting in diffusion-weighted-STEAM sequence for time-dependent diffusion kurtosis

Qinfeng Zhu1, Ruichen Ba1, Zuozhen Cao1

  • 1Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.

Magnetic Resonance Imaging
|October 10, 2025
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Summary

This study optimized diffusion-weighted spectral-edited acquisition (DW-STEAM) to improve time-dependent diffusion kurtosis imaging (tDKI). The new method accurately maps tissue microstructure and transmembrane permeability by eliminating artificial diffusion-time dependence.

Keywords:
Diffusion kurtosis imagingKärger modelTime dependency

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Area of Science:

  • Magnetic Resonance Imaging
  • Biophysics
  • Diffusion MRI

Background:

  • Diffusion-weighted spectral-edited acquisition (DW-STEAM) is susceptible to unwanted diffusion weighting.
  • Time-dependent diffusion kurtosis imaging (tDKI) requires precise diffusion weighting for accurate measurements.
  • Conventional methods using non-diffusion-weighted (b0) images can introduce artifacts in tDKI.

Purpose of the Study:

  • To develop an optimized DW-STEAM acquisition protocol.
  • To minimize unwanted diffusion weighting in DW-STEAM.
  • To facilitate accurate tDKI measurements for mapping structural morphology and transmembrane permeability.

Main Methods:

  • Optimized diffusion gradient amplitude to correct for diffusion-direction-dependent shifts.
  • Utilized low-b-value reference images instead of conventional b0 acquisitions.
  • Removed crusher gradients and compared results with conventional diffusion-weighted imaging (DWI) in phantoms and healthy adults.

Main Results:

  • Conventional b0 acquisition with crushers led to artificial time dependence and elevated water exchange time (τex) estimates.
  • The optimized crusher-free approach with low-b-value reference images yielded reasonable tDKI estimates.
  • In vivo and ex vivo gray matter τex ranged from 15-60 ms, indicating accurate measurements.

Conclusions:

  • The optimized DW-STEAM protocol effectively eliminates artificial diffusion-time dependence.
  • This approach enables accurate tDKI data acquisition.
  • The method is suitable for mapping structural morphology and transmembrane permeability.