CEST MR-Fingerprinting: Practical considerations and insights for acquisition schedule design and improved reconstruction.

Or Perlman, Kai Herz, Moritz Zaiss, Ouri Cohen, Matthew S Rosen, Christian T Farrar

Journal: Magnetic resonance in medicine 2021;83(2):462-478

PMID: 31400034

Abstract

PURPOSE

To understand the influence of various acquisition parameters on the ability of CEST MR-Fingerprinting (MRF) to discriminate different chemical exchange parameters and to provide tools for optimal acquisition schedule design and parameter map reconstruction.

METHODS

Numerical simulations were conducted using a parallel computing implementation of the Bloch-McConnell equations, examining the effect of TR, TE, flip-angle, water and , saturation-pulse duration, power, and frequency on the discrimination ability of CEST-MRF. A modified Euclidean distance matching metric was evaluated and compared to traditional dot product matching. L-Arginine phantoms of various concentrations and pH were scanned at 4.7T and the results compared to numerical findings.

RESULTS

Simulations for dot product matching demonstrated that the optimal flip-angle and saturation times are and 1100 ms, respectively. The optimal maximal saturation power was 3.4 μT for concentrated solutes with a slow exchange rate, and 5.2 μT for dilute solutes with medium-to-fast exchange rates. Using the Euclidean distance matching metric, much lower maximum saturation powers were required (1.6 and 2.4 μT, respectively), with a slightly longer saturation time (1500 ms) and flip-angle. For both matching metrics, the discrimination ability increased with the repetition time. The experimental results were in agreement with simulations, demonstrating that more than a 50% reduction in scan-time can be achieved by Euclidean distance-based matching.

CONCLUSIONS

Optimization of the CEST-MRF acquisition schedule is critical for obtaining the best exchange parameter accuracy. The use of Euclidean distance-based matching of signal trajectories simultaneously improved the discrimination ability and reduced the scan time and maximal saturation power required.

© 2019 International Society for Magnetic Resonance in Medicine.

Address: Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts.; Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.; IMPRS for Cognitive and Systems Neuroscience, University of Tübingen, Tübingen, Germany.; Memorial Sloan Kettering Cancer Center, New York, New York.; Department of Physics, Harvard University, Cambridge, Massachusetts.
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