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Alternating unbalanced SSFP for 3D mapping of the human brain
Hyunyeol Lee1, Felix W Wehrli1
1Laboratory for Structural, Physiologic, and Functional Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Magnetic Resonance in Medicine
|December 17, 2020
Summary
This study introduces a new MRI method for fast, whole-brain mapping of tissue microstructure, specifically measuring T2* relaxation rates. The technique offers a reliable way to assess brain oxygenation and susceptibility across different regions.
Area of Science:
- Magnetic Resonance Imaging
- Neuroimaging
- Biophysics
Background:
- T2* relaxation rate mapping is crucial for quantitative tissue microstructure evaluation, including brain oxygenation.
- Current T2* measurement techniques are often time-consuming and may be susceptible to magnetic field variations.
Purpose of the Study:
- To propose a novel alternating unbalanced SSFP pulse sequence for rapid, whole-brain 3D T2* mapping.
- To develop a method for simultaneous T2*, R2, and magnetic susceptibility mapping with improved robustness to magnetic field variations.
Main Methods:
- An alternating SSFP sequence combining SSFP-FID and SSFP-ECHO modes for rapid 3D data acquisition.
- Integration of Z-shimming gradients to mitigate effects of large-scale magnetic field variations (ΔB0).
- Development of signal models accounting for ΔB0-induced modulations for corrected parameter estimation (R2, T2*, T2).
- Quantitative susceptibility mapping (QSM) of phase data to derive relative magnetic susceptibility (Δχ) maps.
Main Results:
- Generated T2* maps exhibited expected contrast across brain regions, consistent with prior studies.
- Derived R2, T2, and Δχ maps showed good agreement with existing literature.
- Strong linear correlations were observed between transverse relaxation parameters (T2*, R2, T2) and Δχ.
Conclusions:
- The proposed alternating SSFP method is feasible for practical and reliable whole-brain T2* mapping.
- The technique enables simultaneous quantification of T2*, R2, T2, and Δχ.
- This approach provides a robust tool for assessing brain tissue microstructure and oxygenation.

