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.