Efficient pulse sequence design framework for high-dimensional MR fingerprinting scans using systematic error index.

ABSTRACT:

Purpose

For effective optimization of MR fingerprinting (MRF) pulse sequences, estimating and minimizing errors from actual scan conditions are crucial. Although virtual-scan simulations offer an approximation to these errors, their computational demands become expensive for high-dimensional MRF frameworks, where interactions between more than two tissue properties are considered. This complexity makes sequence optimization impractical. We introduce a new mathematical model, the systematic error index (SEI), to address the scalability challenges for high-dimensional MRF sequence design.

Methods

By eliminating the need to perform dictionary matching, the SEI model approximates quantification errors with low computational costs. The SEI model was validated in comparison with v

SUBMITTER: Hu S 

PROVIDER: S-EPMC11262985 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature