ArticleAnnals of biomedical engineering2022
Enhanced 4D Flow MRI-Based CFD with Adaptive Mesh Refinement for Flow Dynamics Assessment in Coarctation of the Aorta.
Article in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 30 citations in OpenAlex.
- Geometric Determinants of Post-stenotic Energetics in Coarctation of Aorta: Linking Centerline Morphology to Downstream Energy Loss.Annals of biomedical engineering · 2026Article
- Predicting Hypertension Persistence in Coarctation of the Aorta: A Feasibility Study.Annals of biomedical engineering · 2026Article
- MRI-Based Pressure Gradient Mapping in Patient-Specific Models of Coarctation of the Aorta.medRxiv : the preprint server for health sciences · 2026Article
- Hemodynamic Alteration in Aortic Valve Stenosis: CFD Insights from Leaflet-Resolved Models.Bioengineering (Basel, Switzerland) · 2025Article
- Sensitivity of Left Atrial Flow Dynamics to Echocardiographic and Computed Tomography Data.Journal of cardiovascular translational research · 2025Article
- Impact of Vascular Geometry on Thrombosis in Pediatric Patients With Modified Blalock-Taussig-Thomas Shunt: A Pilot Study.Journal of the American Heart Association · 2025Article
- Applications of Computational Fluid Dynamics in Congenital Heart Disease: A Review.Journal of cardiovascular development and disease · 2025Review
- An in silico analysis of heart rate impact on wall shear stress hemodynamic parameters in aortic coarctation.Scientific reports · 2025Article
- Computational fluid dynamics of bladder voiding using 3D dynamic MRI.International journal for numerical methods in biomedical engineering · 2024Article
- Validation of Dynamic 3D MRI for Urodynamics Assessment Using an Anatomically Realistic In Vitro Model of the Bladder.Journal of biomechanical engineering · 2024Article
- Non-invasive Estimation of Pressure Drop Across Aortic Coarctations: Validation of 0D and 3D Computational Models with In Vivo Measurements.Annals of biomedical engineering · 2024Article
- Reconstruction and Validation of Arterial Geometries for Computational Fluid Dynamics Using Multiple Temporal Frames of 4D Flow-MRI Magnitude Images.Cardiovascular engineering and technology · 2023Article
- Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI.Frontiers in bioengineering and biotechnology · 2023Article
- Dynamic Imaging of Aortic Pathologies: Review of Clinical Applications and Imaging Protocols.Methodist DeBakey cardiovascular journal · 2023Review
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
4D Flow MRI is a diagnostic tool that can visualize and quantify patient-specific hemodynamics and help interventionalists optimize treatment strategies for repairing coarctation of the aorta (COA). Despite recent developments in 4D Flow MRI, shortcomings include phase-offset errors, limited spatiotemporal resolution, aliasing, inaccuracies due to slow aneurysmal flows, and distortion of images due to metallic artifact from vascular stents. To address these limitations, we developed a framework utilizing Computational Fluid Dynamics (CFD) with Adaptive Mesh Refinement (AMR) that enhances 4D Flow MRI visualization/quantification. We applied this framework to five pediatric patients with COA, providing in-vivo and in-silico datasets, pre- and post-intervention. These two data sets were compared and showed that CFD flow rates were within 9.6% of 4D Flow MRI, which is within a clinically acceptable range. CFD simulated slow aneurysmal flow, which MRI failed to capture due to high relative velocity encoding (V
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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.