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Exploiting gradient-echo frequency evolution: Probing white matter microstructure and extracting bulk

Lin Chen1,2, Hyeong-Geol Shin1,2, Peter C M van Zijl1,2

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Summary
This summary is machine-generated.

This study developed a model to separate microstructure-induced frequency shifts from bulk susceptibility shifts in white matter, improving quantitative susceptibility mapping accuracy.

Keywords:
QSMTE-dependent frequencybulk susceptibility-induced frequencygradient-echo frequency evolutionmicrostructure-induced frequency

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Area of Science:

  • Neuroimaging
  • Biophysics
  • Medical Physics

Background:

  • Quantitative susceptibility mapping (QSM) is crucial for neuroimaging.
  • Accurate QSM is challenged by microstructural complexities in white matter (WM).
  • Crossing fibers in WM complicate the separation of frequency shifts.

Purpose of the Study:

  • Investigate microstructure-induced frequency shifts in WM with crossing fibers.
  • Separate microstructure-related frequency shifts from bulk susceptibility shifts.
  • Improve quantitative susceptibility mapping (QSM) accuracy using model fitting.

Main Methods:

  • Developed a hollow-cylinder fiber model (HCFM) with two fiber populations.
  • Simulated and measured gradient-echo (GRE) frequency evolutions.
  • Fitted TE-dependent frequency shifts to a simplified model to obtain microstructure and bulk susceptibility parameters.
  • Reconstructed QSM using the derived parameters and evaluated performance on phantoms and in vivo data.

Main Results:

  • Simulated GRE frequency evolutions and parameters matched in vivo observations.
  • The TE-dependent fitting method outperformed other multi-echo combination methods in simulations.
  • Navigator-based B0 fluctuation correction further improved fitted parameters and QSM.

Conclusions:

  • HCFM effectively characterizes microstructure-induced frequency shifts in WM with crossing fibers.
  • TE-dependent frequency fitting provides microstructure-related contrast.
  • This approach may enhance the quantification accuracy of QSM.