Radial Fourier Velocity Endcoding (RFVE) with SPIRiT Exploiting Temporal Correlations in K-T Space

Claudio Santelli¹, ², Sebastian Kozerke¹, ², Tobias Schaeffter²

Fourier velocity encoding (FVE) resolves the distribution of velocities within a voxel by acquiring a range of kv-points. The The long acquisition times, however, have excluded the method from clinical use so far. SPIRiT provides a very general reconstruction framework for non-Cartesian undersampled data. Prior assumption of Gaussian velocity spectra additionally allows undersampling along the velocity encoding dimensions. We extended non-Cartesian SPIRiT to include the temporal dimension thereby additionally exploiting temporal correlations in k-t space. The k-t method is applied to non-uniformly undersampled kv-encodes to reconstruct mean and standard deviation of the velocity spectra for each voxel in aortic flow measurements.