ArticleInternational journal for numerical methods in biomedical engineering2021
An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations.
Article in International journal for numerical methods in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 1 citations in OpenAlex.
- Haemodynamic and biomechanical biomarker analysis of carotid fibromuscular dysplasia via fluid-structure interaction.Biomechanics and modeling in mechanobiology · 2026Article
- Real-Time Peripheral Revascularization Planning in Chronic Limb Threatening Ischemia Using HarVI: A Digital Twin Approach.Cardiovascular engineering and technology · 2026Article
- Investigating the role of structural wall stress in aortic growth prognosis in acute uncomplicated type B aortic dissection.Biomechanics and modeling in mechanobiology · 2025Article
- A Vector Fitting Approach for the Automated Estimation of Lumped Boundary Conditions of 1D Circulation Models.Cardiovascular engineering and technology · 2023Article
- A fast approach to estimating Windkessel model parameters for patient-specific multi-scale CFD simulations of aortic flow.Computers & fluids · 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
- Inverse problems in blood flow modeling: A review.International journal for numerical methods in biomedical engineering · 2022Review
- An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations.International journal for numerical methods in biomedical engineering · 2021Article
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The choice of appropriate boundary conditions is a fundamental step in computational fluid dynamics (CFD) simulations of the cardiovascular system. Boundary conditions, in fact, highly affect the computed pressure and flow rates, and consequently haemodynamic indicators such as wall shear stress (WSS), which are of clinical interest. Devising automated procedures for the selection of boundary conditions is vital to achieve repeatable simulations. However, the most common techniques do not automatically assimilate patient-specific data, relying instead on expensive and time-consuming manual tuning procedures. In this work, we propose a technique for the automated estimation of outlet boundary conditions based on optimal control. The values of resistive boundary conditions are set as control variables and optimized to match available patient-specific data. Experimental results on four aortic arches demonstrate that the proposed framework can assimilate 4D-Flow MRI data more accurately than two other common techniques based on Murray's law and Ohm's law.
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