ArticleMagnetic resonance in medicine2022
Accelerated sequences of 4D flow MRI using GRAPPA and compressed sensing: A comparison against conventional MRI and computational fluid dynamics.
Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Clinical applications of 4D flow magnetic resonance imaging in hepatic vascular disorders: practical biomarkers, protocol design, and translational implementation.Quantitative imaging in medicine and surgery · 2026Review
- Impact of Partial Echo on 4D Flow MRI: The Insight From Synthetic MRI.Magnetic resonance in medicine · 2026Article
- Simultaneous quantitative evaluation of both iliac arteries and veins via accelerated four-dimensional flow in healthy controls and patients with deep vein thrombosis: a pilot study.Quantitative imaging in medicine and surgery · 2026Article
- Optimizing encoding strategies for 4D Flow MRI of mean and turbulent flow.Scientific reports · 2024Article
- Direct comparison of whole heart quantifications between different retrospective and prospective gated 4D flow CMR acquisitions.Frontiers in cardiovascular medicine · 2024Article
- Observation of intracranial artery and venous sinus hemodynamics using compressed sensing-accelerated 4D flow MRI: performance at different acceleration factors.Frontiers in neuroscience · 2024Article
- Accelerated sequences of 4D flow MRI using GRAPPA and compressed sensing: A comparison against conventional MRI and computational fluid dynamics.Magnetic resonance in medicine · 2022Article
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Authors and funding
7 authors.
Funding
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Abstract
purposeTo evaluate hemodynamic markers obtained by accelerated GRAPPA (R = 2, 3, 4) and compressed sensing (R = 7.6) 4D flow MRI sequences under complex flow conditions.
methodsThe accelerated 4D flow MRI scans were performed on a pulsatile flow phantom, along with a nonaccelerated fully sampled k-space acquisition. Computational fluid dynamics simulations based on the experimentally measured flow fields were conducted for additional comparison. Voxel-wise comparisons (Bland-Altman analysis,
results4D flow acquisitions and computational fluid dynamics depicted similar hemodynamic patterns. Voxel-wise comparisons between the MRI scans highlighted larger discrepancies at the voxels located near the phantom's boundary walls. A trend for all MR scans to overestimate velocity profiles and peak velocities as compared to computational fluid dynamics was noticed in regions associated with high velocity or acceleration. However, good agreement for the flow rates was observed, and eddy-current correction appeared essential for consistency of the flow rates measurements with respect to the principle of mass conservation.
conclusionGRAPPA (R = 2, 3) and highly accelerated compressed sensing showed good agreement with the fully sampled acquisition. Yet, all 4D flow MRI scans were hampered by artifacts inherent to the phase-contrast acquisition procedure. Computational fluid dynamics simulations are an interesting tool to assess these differences but are sensitive to modeling parameters.
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