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Abstract #0694

Accelerating cardiac hyperpolarized 13C imaging using variational networks for reconstruction

Andreas Dounas1, Valery Vishnevskiy1, Maximilian Fuetterer1, Julia Traechtler1, and Sebastian Kozerke1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland

A variational network (VN) was implemented and trained on synthetic data to reconstruct multi-echo hyperpolarized 13C data acquired in the in vivo heart. VN reconstruction performance was studied using 2D and 3D synthetic data under low SNR conditions and for acceleration factors of 3 and 9, respectively. Relative to standard gradient descent based reconstruction, the network offers improved reconstruction accuracy and reduced signal leakage between metabolites while preserving information on lactate-to-bicarbonate ratios.

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