Abstract
Background PVM is an established technique for measuring blood [1] and myocardial velocities [2]. However, long scan times can restrict its application. Peak-GRAPPA has been used to accelerate Cartesian PVM up to a factor of 6 (R = 6) without degrading peak velocity measurements [3], however use of efficient k-space trajectories could allow higher temporal resolution (TR) in similar scan time. Through-time spiral GRAPPA allows highly accelerated spiral data to be reconstructed using throughtime calibration information [4]. By collecting multiple repetitions of fully sampled calibration data, which can be collected without gating during free breathing, through-time information can be used to generate GRAPPA weights specific to the local undersampling in the non-Cartesian data. This abstract presents preliminary work on a single volunteer to apply this reconstruction to myocardial spiral PVM data.
Highlights
PVM is an established technique for measuring blood [1] and myocardial velocities [2]
All peak velocities are well preserved up to R = 4, and some are well preserved at R = 8 (Long[1], Circ[1], Rad2)
Data for phase velocity mapping were collected on a 3T Skyra MRI scanner (Siemens Medical Solutions, Erlangen, Germany) with 18 receiver channels
Summary
PVM is an established technique for measuring blood [1] and myocardial velocities [2]. Peak-GRAPPA has been used to accelerate Cartesian PVM up to a factor of 6 (R = 6) without degrading peak velocity measurements [3], use of efficient k-space trajectories could allow higher temporal resolution (TR) in similar scan time. By collecting multiple repetitions of fully sampled calibration data, which can be collected without gating during free breathing, through-time information can be used to generate GRAPPA weights specific to the local undersampling in the non-Cartesian data. This abstract presents preliminary work on a single volunteer to apply this reconstruction to myocardial spiral PVM data.
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