ArticleAdvanced modeling and simulation in engineering sciences2020
A flexible framework for sequential estimation of model parameters in computational hemodynamics.
Article in Advanced modeling and simulation in engineering sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data.Biomechanics and modeling in mechanobiology · 2026Article
- Towards personalization of 1D blood flow models: sensitivity analysis and parameter calibration.Biomechanics and modeling in mechanobiology · 2026Article
- Physics-Informed Neural Network for Modeling the Pulmonary Artery Blood Pressure from Magnetic Resonance Images: A Reduced-Order Navier-Stokes Model.Biomedicines · 2025Article
- Estimating flow division in aortic branches of diseased aorta: a method for boundary condition specification in CFD analysis.Frontiers in bioengineering and biotechnology · 2025Article
- Efficient Cardiovascular Parameters Estimation for Fluid-Structure Simulations Using Gappy Proper Orthogonal Decomposition.Annals of biomedical engineering · 2024Article
- Designing clinical trials for patients who are not average.iScience · 2024Review
- A Vector Fitting Approach for the Automated Estimation of Lumped Boundary Conditions of 1D Circulation Models.Cardiovascular engineering and technology · 2023Article
- Parametric analysis of an efficient boundary condition to control outlet flow rates in large arterial networks.Scientific reports · 2022Article
- Inverse problems in blood flow modeling: A review.International journal for numerical methods in biomedical engineering · 2022Review
- Data-driven computational models of ventricular-arterial hemodynamics in pediatric pulmonary arterial hypertension.Frontiers in physiology · 2022Article
- On the Periodicity of Cardiovascular Fluid Dynamics Simulations.Annals of biomedical engineering · 2021Article
- 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
- CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation.PLoS computational biology · 2021Article
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Authors and funding
5 authors.
Funding
Abstract
A major challenge in constructing three dimensional patient specific hemodynamic models is the calibration of model parameters to match patient data on flow, pressure, wall motion, etc. acquired in the clinic. Current workflows are manual and time-consuming. This work presents a flexible computational framework for model parameter estimation in cardiovascular flows that relies on the following fundamental contributions. (i) A Reduced-Order Unscented Kalman Filter (ROUKF) model for data assimilation for wall material and simple lumped parameter network (LPN) boundary condition model parameters. (ii) A constrained least squares augmentation (ROUKF-CLS) for more complex LPNs. (iii) A "Netlist" implementation, supporting easy filtering of parameters in such complex LPNs. The ROUKF algorithm is demonstrated using non-invasive patient-specific data on anatomy, flow and pressure from a healthy volunteer. The ROUKF-CLS algorithm is demonstrated using synthetic data on a coronary LPN. The methods described in this paper have been implemented as part of the CRIMSON hemodynamics software package.
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