Improved T1, T2 and PDFF mapping with rosette MRF using virtual-coil + low-rank + patch-based regularization

In this work, T1/T2/PDFF mapping with rosette cardiac MRF is improved by exploiting the idea of virtual coils along with subspace constrained reconstruction. The Hermitian symmetry of k-space is explicitly included in the forward model via virtual coils and combined with global low-rank models. This model is further combined with a regularizer leveraging prior information from dictionaries, patch-similarity, and locally low-rank. This virtual-coil + low-rank + patch-based approach is used to jointly reconstruct multi-echo rosette MRF data for improved quality of the final T1, T2, and PDFF maps.