ArticleJournal of magnetic resonance imaging : JMRI2017
Accelerated dual-venc 4D flow MRI for neurovascular applications.
Article in Journal of magnetic resonance imaging : JMRI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
71 citing papers in PubMed, 1 synthesis or guideline pooled it, 111 citations in OpenAlex.
- 4D flow MRI for non-invasive measurement of blood flow in the brain: A systematic review.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021Pooled it
- The emerging role of 4D flow MRI in abdominal interventional radiology.Abdominal radiology (New York) · 2026Review
- Autonomous Velocity Encoding (VENC) Selection Improves Precision of Quantitative Flow Measurement.Journal of magnetic resonance imaging : JMRI · 2026Article
- Article
- Estimation of Blood Velocity from TOF-MRA Arterial Centerlines: Theory, Simulation, and Inverse Solution.Bioengineering (Basel, Switzerland) · 2026Article
- Fully self-gated dual-venc five-dimensional flow magnetic resonance imaging for simultaneous imaging of the cardiovascular and portal venous systems: A feasibility study.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026Article
- Mapping subarachnoid cerebrospinal fluid circulation in the human brain.bioRxiv : the preprint server for biology · 2026Article
- Pulsatility Assessment of Cerebral Perforating Arteries Using Submillimeter-Resolution Dual-VENC Phase-Contrast MRI at 3T.Journal of magnetic resonance imaging : JMRI · 2026Article
- Comparison of free-running whole-heart five-dimensional and four-dimensional flow imaging to standard two-dimensional flow in patients with congenital heart disease.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026Article
- Uncertainty-aware automated labeling of intracranial arteries using deep learning.BMC medical imaging · 2026Article
- Arterial-optimized 4D-flow MRI for quantifying flow and pulsatility in venous sinuses and large cerebral veins.Scientific reports · 2025Article
- Synchronous quantification of arterial, venous, and cerebrospinal fluid flow dynamics using real-time phase-contrast MRI.Fluids and barriers of the CNS · 2025Article
- Simultaneous Assessment of Arterial Pulsatility Across Multiple Segments of Cerebral Arteries Using Multiband Dual-VENC Phase-Contrast MRI.NMR in biomedicine · 2025Article
- Four-dimensional phase-contrast MRI with accelerated dual velocity encoding in patients with complex congenital heart disease: a feasibility study.European heart journal. Imaging methods and practice · 2025Article
- Predicting Cerebral Aneurysm Rupture: The Role of Computational Fluid Dynamics.Neuroimaging clinics of North America · 2025Review
- Quantification of the Dynamics of the Vascular Flows in the Cerebral Arterial and Venous Trees.Biomedicines · 2025Article
- Non-invasive quantification of pressure drops in stenotic intracranial vessels: using deep learning-enhanced 4D flow MRI to characterize the regional haemodynamics of the pulsing brain.Interface focus · 2025Article
- Performance of respiratory gated 4D flow MRI with adaptive k-space reordering in healthy controls and aortic dissection: reproducibility and agreement with 2D phase contrast MRI.The international journal of cardiovascular imaging · 2025Article
- Super-Resolving and Denoising 4D flow MRI of Neurofluids Using Physics-Guided Neural Networks.Annals of biomedical engineering · 2025Article
- Verifying the Accuracy of Hemodynamic Analysis Using High Spatial Resolution 3D Phase-contrast MR Imaging on a 7T MR System: Comparison with a 3T System.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 1 institution in 2 countries.
Funding
Abstract
purposeTo improve velocity-to-noise ratio (VNR) and dynamic velocity range of 4D flow magnetic resonance imaging (MRI) by using dual-velocity encoding (dual-venc) with k-t generalized autocalibrating partially parallel acquisition (GRAPPA) acceleration. MATERIALS AND
methodsA dual-venc 4D flow MRI sequence with k-t GRAPPA acceleration was developed using a shared reference scan followed by three-directional low- and high-venc scans (repetition time / echo time / flip angle = 6.1 msec / 3.4 msec / 15°, temporal/spatial resolution = 43.0 msec/1.2 × 1.2 × 1.2 mm
resultsAll 4D flow MRI scans were acquired successfully with an acquisition time of 20 ± 4 minutes. The shared reference scan reduced the total acquisition time by 12.5% compared to two separate scans. Phantom experiments showed 51.4% reduced noise for dual-venc compared to high-venc and an excellent agreement of velocities (ρ = 0.8, P < 0.001). The volunteer data showed decreased noise in dual-venc data (54.6% lower) compared to high-venc, and improved image quality, as graded by two observers: fewer artifacts (P < 0.0001), improved vessel conspicuity (P < 0.0001), and reduced noise (P < 0.0001).
conclusionDual-venc 4D flow MRI exhibits the superior VNR of the low-venc acquisition and reliably incorporates low- and high-velocity fields simultaneously. In vitro and in vivo data demonstrate improved flow visualization, image quality, and image noise. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:102-114.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.