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Abstract #3644

Optimal encoding strategies for turbulence quantification of undersampled 4D flow MRI

Pietro Dirix1, Stefano Buoso1, and Sebastian Kozerke1
1University and ETH Zurich, Zürich, Switzerland

Synopsis

Keywords: Flow, Image ReconstructionWe expand a previously developed pipeline for generation of synthetic 4D flow MRI of turbulent flows to account for realistic k-space filling and add an MR temporal averaging component to the simulations. We show that temporal averaging in typical undersampled 4D flow MRI is imperfect, leading to inherent scan-to-scan variations of measured turbulence fields. We demonstrate how encoding schemes, when designed appropriately, allow to significantly reduce scan-to-scan variability, increasing the confidence on MRI measurements.

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