Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization.

ABSTRACT: Magnetic resonance fingerprinting (MRF) is a method to extract quantitative tissue properties such as [Formula: see text] and [Formula: see text] relaxation rates from arbitrary pulse sequences using conventional MRI hardware. MRF pulse sequences have thousands of tunable parameters, which can be chosen to maximize precision and minimize scan time. Here, we perform de novo automated design of MRF pulse sequences by applying physics-inspired optimization heuristics. Our experimental data suggest that systematic errors dominate over random errors in MRF scans under clinically relevant conditions of high undersampling. Thus, in contrast to prior optimization efforts, which focused on statistical error models, we use a cost function based on explicit first-principles simulation of systematic e

SUBMITTER: Jordan SP 

PROVIDER: S-EPMC8501900 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature