Flexible and efficient optimization of quantitative sequences using automatic differentiation of Bloch simulations.

ABSTRACT:

Purpose

To investigate a computationally efficient method for optimizing the Cramér-Rao Lower Bound (CRLB) of quantitative sequences without using approximations or an analytical expression of the signal.

Methods

Automatic differentiation was applied to Bloch simulations and used to optimize several quantitative sequences without the need for approximations or an analytical expression. The results were validated with in vivo measurements and comparisons to prior art. Multi-echo spin echo and DESPO T1 were used as benchmarks to verify the CRLB implementation. The CRLB of the Magnetic Resonance Fingerprinting (MRF) sequence, which has a complicated analytical formulation, was also optimized using automatic differentiation.

Results

The sequence parameters obtained for mu

SUBMITTER: Lee PK 

PROVIDER: S-EPMC8057531 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature