A fast MR fingerprinting simulator for direct error estimation and sequence optimization.

ABSTRACT: Magnetic resonance fingerprinting (MRF) is a novel quantitative MR technique that simultaneously provides multiple tissue property maps. When optimizing MRF scans, modeling undersampling errors and field imperfections in cost functions for direct measurement of quantitative errors will make the optimization results more practical and robust. However, optimizing such cost function is computationally expensive and impractical for MRF optimization with tens of thousands of iterations. Here, we introduce a fast MRF simulator to simulate aliased images from actual scan scenarios including undersampling and system imperfections, which substantially reduces computational time and allows for direct error estimation of the quantitative maps and efficient sequence optimization. We evaluate the perfo

SUBMITTER: Hu S 

PROVIDER: S-EPMC10002151 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature