Kilian Weiss1, Andreas Sigfridsson1, Georgios Batsios1, Marcin Krajewski1, Michael Batel2, Sebastian Kozerke1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland; 2Physical Chemistry, ETH Zurich, Zurich, Switzerland
The investigation of real-time metabolic processes using hyperpolarized compounds requires efficient sampling schedules for sufficient spatiotemporal resolutions. Dynamic hyperpolarized 13C signals in the heart are inherently sparse and their dynamics may be represented by few temporal basis functions. To this end, spatiotemporal acceleration techniques are particularly suited to speed up acquisitions. In this work k-t PCA was implemented and tested based on simulated and hyperpolarized in-vivo data of the rat heart. Accurate reconstructions from up to 8-fold k-t undersampled data have been achieved demonstrating the potential of k-t undersampling approaches for dynamic hyperpolarized imaging of the heart.