A steady-state MR fingerprinting sequence optimization framework applied to the fast 3D quantification of fat fraction and water T1 in the thigh muscles.

ABSTRACT:

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 FF$$ FF $$ , from 93% to 96% for T1H2O$$ T{1}_{H2O} $$ on numerical simulations) and precision, especially wh

SUBMITTER: Slioussarenko C 

PROVIDER: S-EPMC11971504 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature