Abstract
Background Fourier velocity encoding (FVE) [P.R.Moran,MRI (1),1982] assesses the distribution of velocities within a voxel by acquiring a range of velocity encodes (kv) points. The ability to measure intra-voxel phase dispersion, however, comes at the expense of clinically infeasible scan times. We have recently extended [C.Santelli, ESMRMB(345),2011] the auto-calibrating parallel imaging technique SPIRiT [M.Lustig,MRM(64),2010] to exploit temporal correlations in dynamic k-t signal space and successfully applied it to radially undersampled FVE data. Prior assumption of Gaussian velocity spectra additionally allows undersampling along the velocity encoding dimensions [P.Dyverfeldt,MRM (56),2006]. In this work, a scheme is proposed to nonuniformly undersample the kv-axes in addition to undersampling k-t space for reconstructing mean and standard deviation (SD) of the velocity spectra for each voxel in aortic flow measurements.
Highlights
Fourier velocity encoding (FVE) [P.R.Moran,MRI (1),1982] assesses the distribution of velocities within a voxel by acquiring a range of velocity encodes points
Prior assumption of Gaussian velocity spectra allows undersampling along the velocity encoding dimensions [P.Dyverfeldt,MRM (56),2006]
Acquisition 2D radial (FOV=250mmx250mm) fully sampled cine FVE data of the aortic arch for 3 orthogonal velocity components was obtained from 5 healthy volunteers on a 3T Philips Achieva scanner (Philips Healthcare, Best, The Netherlands) using a 6 element receive array
Summary
Fourier velocity encoding (FVE) [P.R.Moran,MRI (1),1982] assesses the distribution of velocities within a voxel by acquiring a range of velocity encodes (kv) points. The ability to measure intra-voxel phase dispersion, comes at the expense of clinically infeasible scan times. We have recently extended [C.Santelli, ESMRMB(345),2011] the auto-calibrating parallel imaging technique SPIRiT [M.Lustig,MRM(64),2010] to exploit temporal correlations in dynamic k-t signal space and successfully applied it to radially undersampled FVE data. Prior assumption of Gaussian velocity spectra allows undersampling along the velocity encoding dimensions [P.Dyverfeldt,MRM (56),2006]. A scheme is proposed to nonuniformly undersample the kv-axes in addition to undersampling k-t space for reconstructing mean and standard deviation (SD) of the velocity spectra for each voxel in aortic flow measurements
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