ArticleMagnetic resonance in medicine2023
Focused navigation for respiratory-motion-corrected free-running radial 4D flow MRI.
Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 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
- Automatic Respiratory and Bulk Patient Motion Corrected 3D Fetal MRI.Magnetic resonance in medicine · 2026Article
- Highly accelerated 4D flow MRI with respiratory compensation and cardiac view sharing: a cross-sectional study of flow in the great vessels of pediatric congenital heart disease.Pediatric radiology · 2025Article
- The effect of respiratory motion compensation in intracardiac 4D flow magnetic resonance imaging on left ventricular flow dynamics, multicomponent particle tracing, and valve tracking.European heart journal. Imaging methods and practice · 2025Article
- Free-Running Cardiac and Respiratory Motion-Resolved Imaging: A Paradigm Shift for Managing Motion in Cardiac MRI?Diagnostics (Basel, Switzerland) · 2024Review
- Combined free-running four-dimensional anatomical and flow magnetic resonance imaging with native contrast using Synchronization of Neighboring Acquisitions by Physiological Signals.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
purposeTo validate a respiratory motion correction method called focused navigation (fNAV) for free-running radial whole-heart 4D flow MRI.
methodsUsing fNAV, respiratory signals derived from radial readouts are converted into three orthogonal displacements, which are then used to correct respiratory motion in 4D flow datasets. Hundred 4D flow acquisitions were simulated with non-rigid respiratory motion and used for validation. The difference between generated and fNAV displacement coefficients was calculated. Vessel area and flow measurements from 4D flow reconstructions with (fNAV) and without (uncorrected) motion correction were compared to the motion-free ground-truth. In 25 patients, the same measurements were compared between fNAV 4D flow, 2D flow, navigator-gated Cartesian 4D flow, and uncorrected 4D flow datasets.
resultsFor simulated data, the average difference between generated and fNAV displacement coefficients was 0.04
conclusionfNAV corrected respiratory motion in vitro and in vivo, resulting in fNAV 4D flow measurements that are comparable to those derived from 2D flow and navigator-gated Cartesian 4D flow datasets, with improvements over those from uncorrected 4D flow.
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Registered trials
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