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An MR fingerprinting approach for quantitative inhomogeneous magnetization transfer imaging
Daniel J West1, Gastao Cruz1, Rui P A G Teixeira1,2
1Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, St. Thomas' Hospital, London, United Kingdom.
Magnetic Resonance in Medicine
|August 21, 2021
Summary
This study introduces a novel MRI technique to simultaneously measure Magnetization Transfer (MT) and inhomogeneous MT (ihMT) properties. This method enhances tissue characterization, particularly for myelinated tissues, using a single acquisition.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Biomedical Engineering
- Neuroimaging
Background:
- Magnetization transfer (MT) and inhomogeneous MT (ihMT) are crucial MRI contrasts for assessing macromolecular content.
- ihMT is particularly sensitive to myelinated tissue, offering specificity in imaging.
- Current methods require separate acquisitions, limiting efficiency.
Purpose of the Study:
- To develop a single-acquisition technique for characterizing both MT and ihMT properties.
- To generate semiquantitative contrast ratios and quantitative parameter maps simultaneously.
- To improve the efficiency and specificity of macromolecular tissue imaging.
Main Methods:
- A cyclic steady-state approach using multiband and single-band radiofrequency (RF) pulses was employed.
- This technique leverages MT effects to create signal fluctuations, akin to MR fingerprinting.
- Dictionary-based low-rank inversion was used for image reconstruction and parameter estimation.
Main Results:
- Phantom and in vivo brain data at 1.5 Tesla validated the technique.
- ihMT ratio maps demonstrated contrast specific to white matter, aligning with prior research.
- Quantitative estimates of semisolid fraction and dipolar T1 were consistent with literature values.
Conclusions:
- A novel MT-mediated fingerprinting method was successfully demonstrated.
- The approach enables simultaneous generation of semiquantitative MT/ihMT maps and quantitative parameter estimates.
- This technique offers a more efficient way to probe macromolecular tissue characteristics in MRI.

