Rapid $$$T_{2}^{*}$$$ and Susceptibility Mapping using Poisson Wave Encoding and Model-Based Reconstruction

Motivation: Harmonization of quantitative $$$T_{2}^{*}$$$ and susceptibility mapping is of critical interest in research and clinical studies, yet there are no available open-source, harmonized acquisition/reconstruction strategies. Goal(s): To develop open-source sequences and reconstructions for quantitative $$$T_{2}^{*}$$$ and susceptibility mapping with high acceleration. Approach: A 3D multi-echo GRE sequence with wave encoding was implemented on Pulseq. Model-based reconstruction was employed to estimate quantitative maps directly from undersampled k-space. Results: Wave encoding improves quantitative mapping at R=12. While SENSE is more flexible with the choice of sampling patterns, model-based reconstruction performs best with wave-poisson sampling. The latter further improves $$$B_{0}$$$ mapping with less phase warps. Impact: Open-source acquisition with advanced wave encoding and reconstruction have been implemented, which has the potential to facilitate the harmonization of highly-accelerated quantitative $$$T_{2}^{*}$$$, $$$B_{0}$$$ and susceptibility mapping.