ArticleFrontiers in physiology2021
Fully-Coupled FSI Computational Analyses in the Ascending Thoracic Aorta Using Patient-Specific Conditions and Anisotropic Material Properties.
Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 34 citations in OpenAlex.
- An integrated fluid-dynamic and structural pipeline to assess atrial hemodynamics before and after left atrial appendage occluder deployment in a patient-specific anatomy.Medical & biological engineering & computing · 2026Article
- From Case Studies to Cohort of Patients: Automating FSI Simulations to Uncover Downstream Effects of Ascending Aortic Grafts.Annals of biomedical engineering · 2026Article
- Numerical simulations to predict complication after coarctation repair starting from 4D-Flow magnetic resonance imaging.The international journal of cardiovascular imaging · 2026Article
- Mechanisms driving thoracic aortic aneurysm instability.Biomechanics and modeling in mechanobiology · 2026Article
- A Fluid-Structure Interaction Computational Study of Residual Aortic Dissection to Investigate the Influence of Mechanical Behaviour of Wall and Flap on Flows.International journal for numerical methods in biomedical engineering · 2025Article
- Computational Fluid Dynamics-Driven Comparison of Endovascular Treatment Strategies for Penetrating Aortic Ulcer.Journal of clinical medicine · 2025Article
- Computational fluid dynamics modelling of hemodynamics in aortic aneurysm and dissection: a review.Frontiers in bioengineering and biotechnology · 2025Review
- A comprehensive MRI-based computational model of blood flow in compliant aorta using radial basis function interpolation.Biomedical engineering online · 2024Article
- Extended law of laplace for measurement of the cloverleaf anatomy of the aortic root.The international journal of cardiovascular imaging · 2023Article
- Uncertainty Quantification in the In Vivo Image-Based Estimation of Local Elastic Properties of Vascular Walls.Journal of cardiovascular development and disease · 2023Article
- Enabling supra-aortic vessels inclusion in statistical shape models of the aorta: a novel non-rigid registration method.Frontiers in physiology · 2023Article
- Biomechanical properties of 3D printable material usable for synthetic personalized healthy human aorta.International journal of bioprinting · 2023Article
- An image-based approach for the estimation of arterial local stiffnessFrontiers in bioengineering and biotechnology · 2023Article
- Experimental and Mouse-Specific Computational Models of the Fbln4Cardiovascular engineering and technology · 2022Article
- On the Role and Effects of Uncertainties in CardiovascularFrontiers in medical technology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational hemodynamics has become increasingly important within the context of precision medicine, providing major insight in cardiovascular pathologies. However, finding appropriate compromise between speed and accuracy remains challenging in computational hemodynamics for an extensive use in decision making. For example, in the ascending thoracic aorta, interactions between the blood and the aortic wall must be taken into account for the sake of accuracy, but these fluid structure interactions (FSI) induce significant computational costs, especially when the tissue exhibits a hyperelastic and anisotropic response. The objective of the current study is to use the Small On Large (SOL) theory to linearize the anisotropic hyperelastic behavior in order to propose a reduced-order model for FSI simulations of the aorta. The SOL method is tested for fully-coupled FSI simulations in a patient-specific aortic geometry presenting an Ascending Thoracic Aortic Aneurysm (aTAA). The same model is also simulated with a fully-coupled FSI with non-linear material behavior, without SOL linearization. Eventually, the results and computational times with and without the SOL are compared. The SOL approach is demonstrated to provide a significant reduction of computational costs for FSI analysis in the aTAA, and the results in terms of stress state distribution are comparable. The method is implemented in ANSYS and will be further evaluated for clinical applications.
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