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Updated: May 24, 2025
Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
A steady-state MR fingerprinting sequence optimization framework applied to the fast 3D quantification of fat
Constantin Slioussarenko1, Pierre-Yves Baudin1, Benjamin Marty1
1Neuromuscular Investigation Center, NMR Laboratory, Institute of Myology, Paris Cedex 13, France.
Purpose:
The aim of this study was to develop an optimization framework to shorten GRE-based MRF sequences while keeping similar parameter estimation quality.
Methods:
An optimization framework taking into account steady-state initial longitudinal magnetization, undersampling artifacts, and mitigating overfitting by drawing from a realistic numerical thighs phantom database was developed and validated on numerical simulations and 10 healthy volunteers.
Results:
The sequences optimized with the proposed framework decreased the original sequence duration by 30% (8 s per repetition instead of 11.2 s) while showing improved accuracy (SSIM going up from 96% to 99% for , from 93% to 96% for on numerical simulations) and precision, especially when compared with sequences optimized through other means.
Conclusions:
The proposed framework paves the way for fast 3D quantification of and in the skeletal muscle.
