Purpose: MR fingerprinting (MRF) sequences permit efficient T 1 and T 2 estimation in cranial and extracranial regions, but these areas may include substantial fat signals that bias T 1 and T 2 estimates. MRI fat signal fraction estimation is also a topic of active research in itself, but may be complicated by Bo heterogeneity and blurring during spiral k-space acquisitions, which are commonly used for MRF. An MRF method is proposed that separates fat and water signals, estimates water T 1 and T 2 , and accounts for B 0 effects with spiral blurring correction, in a single sequence.Theory and Methods: A k-space-based fat-water separation method is further extended to unbalanced steady-state free precession MRF with swept echo time. Repeated application of this k-space fat-water separation to demodulated forms of the measured data allows a B 0 map and correction to be approximated. The method is compared with MRF without fat separation across a broad range of fat signal fractions (FSFs), water T 1 s and T 2 s, and under heterogeneous static fields in simulations, phantoms, and in vivo.
Results:The proposed method's FSF estimates had a concordance correlation coefficient of 0.990 with conventional measurements, and reduced biases in the T 1 and T 2 estimates due to fat signal relative to other MRF sequences by several hundred ms. The B 0 correction improved the FSF, T 1 , and T 2 estimation compared to those estimates without correction.
Conclusion:The proposed method improves MRF water T 1 , and T 2 estimation in the presence of fat and provides accurate FSF estimation with inline B 0 correction.