Compressed sense reconstructions improve non-Cartesian hyperpolarized 129Xe MRI

Hyperpolarized 129Xe MRI is a powerful pulmonary imaging modality to assess regional ventilation, gas exchange, and lung microstructure. However, non-equilibrium magnetization decay and relatively long breath-hold durations remain major limitations to routine clinical dissemination. While non-Cartesian sampling methods can improve sampling efficiency, these methods are yet to be combined with non-linear reconstruction methods like compressed sensing to further increase speed and reduce image noise. Here, we implement compressed-sense reconstructions across a range of non-Cartesian 129Xe MRI techniques and show that SNR and image quality can all be improved while reducing scan time.