Exploiting Spatiotemporal Correlations for Accelerating Dynamic 2D Spectroscopic Imaging of Hyperpolarized Pyruvate in the Heart

Kilian Weiss¹, Andreas Sigfridsson¹, Georgios Batsios¹, Marcin Krajewski¹, Michael Batel², Sebastian Kozerke¹

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.