Kilian Weiss1, Andreas Sigfridsson1, Sebastian Kozerke1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
Hyperpolarized metabolically active substances provide a promising approach to investigating in vivo metabolism in real time. However, due to the transient life time of hyperpolarization and fast metabolic conversion of injected substances such as 13C labeled pyruvate, suitable fast dynamic spectroscopic imaging sequences. Several methods have been proposed for efficient spatiotemporal encoding for dynamic imaging of hyperpolarized compounds. The current work presents a theoretical framework based on a compartmental signal model and three frequently used pulse sequence designs for 13C labeled pyruvate are compared in terms of signal-to-noise ratio performance.Spatial and spectral selective excitations are found to be most optimal for signal-to-noise performance. Data acceleration techniques were found to be beneficial for signal-to-nose performance if data acquisitions are limited by technical constraints.