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An MR fingerprinting approach for quantitative inhomogeneous magnetization transfer imaging

Authors :
Shaihan J. Malik
Daniel J. West
Claudia Prieto
Joseph V. Hajnal
Rui Pedro A. G. Teixeira
Gastao Cruz
Torben Schneider
Jacques-Donald Tournier
Source :
Magnetic Resonance in Medicine. 87:220-235
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

PURPOSE Magnetization transfer (MT) and inhomogeneous MT (ihMT) contrasts are used in MRI to provide information about macromolecular tissue content. In particular, MT is sensitive to macromolecules, and ihMT appears to be specific to myelinated tissue. This study proposes a technique to characterize MT and ihMT properties from a single acquisition, producing both semiquantitative contrast ratios and quantitative parameter maps. THEORY AND METHODS Building on previous work that uses multiband RF pulses to efficiently generate ihMT contrast, we propose a cyclic steady-state approach that cycles between multiband and single-band pulses to boost the achieved contrast. Resultant time-variable signals are reminiscent of an MR fingerprinting acquisition, except that the signal fluctuations are entirely mediated by MT effects. A dictionary-based low-rank inversion method is used to reconstruct the resulting images and to produce both semiquantitative MT ratio and ihMT ratio maps, as well as quantitative parameter estimates corresponding to an ihMT tissue model. RESULTS Phantom and in vivo brain data acquired at 1.5 Tesla demonstrate the expected contrast trends, with ihMT ratio maps showing contrast more specific to white matter, as has been reported by others. Quantitative estimation of semisolid fraction and dipolar T1 was also possible and yielded measurements consistent with literature values in the brain. CONCLUSION By cycling between multiband and single-band pulses, an entirely MT-mediated fingerprinting method was demonstrated. This proof-of-concept approach can be used to generate semiquantitative maps and quantitatively estimate some macromolecular-specific tissue parameters.

Details

ISSN :
15222594 and 07403194
Volume :
87
Database :
OpenAIRE
Journal :
Magnetic Resonance in Medicine
Accession number :
edsair.doi.dedup.....4433fe03a57fcb74ab9c2be681e60789
Full Text :
https://doi.org/10.1002/mrm.28984