Daniel Giese1,2, Verena Knobloch1, Henrik Pedersen3, Tobias Schaeffter2, Sebastian Kozerke1,2
1Institute for Biomedical Engineering, Univeristy and ETH Zurich, Zurich, Switzerland; 2Division of Imaging Sciences, King's College London, London, United Kingdom; 3Functional Imaging Unit, Glostrup Hospital, Glostrup, Denmark
In this work, we present an extension of k-t PCA taking into account temporal correlations in spatial compartments. The compartment method is shown to significantly outperform conventional k-t PCA at high reduction factors. Using the approach up to 10- fold net acceleration of single-directional phase-contrast velocity mapping in the ascending and descending aorta is demonstrated with excellent agreement relative to fully sampled data even if only a single receive coil is available.