ArticleAnnals of biomedical engineering2020
A Distributed Lumped Parameter Model of Blood Flow.
Article in Annals of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Efficient Multi-Fidelity Fluid-Structure Interaction Modeling for Pulsatile Blood Flow in Deformable Biological Tissues.Annals of biomedical engineering · 2026Article
- Automated Tuning of Cardiovascular Boundary Conditions via Differentiable Surrogate Modeling.Annals of biomedical engineering · 2026Article
- Computational Modeling Meets 3D Bioprinting: Emerging Synergies in Cardiovascular Disease Modeling.Advanced healthcare materials · 2026Review
- Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer.Nature reviews. Cancer · 2025Review
- Article
- Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differences.Computers in biology and medicine · 2025Article
- SeqSeg: Learning Local Segments for Automatic Vascular Model Construction.Annals of biomedical engineering · 2025Article
- 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
- Accelerated simulation methodologies for computational vascular flow modelling.Journal of the Royal Society, Interface · 2024Review
- Beyond CFD: Emerging methodologies for predictive simulation in cardiovascular health and disease.Biophysics reviews · 2023Review
- Automated generation of 0D and 1D reduced-order models of patient-specific blood flow.International journal for numerical methods in biomedical engineering · 2022Article
- Enhanced 4D Flow MRI-Based CFD with Adaptive Mesh Refinement for Flow Dynamics Assessment in Coarctation of the Aorta.Annals of biomedical engineering · 2022Article
- Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond.Annals of biomedical engineering · 2022Review
- Insights from computational modeling on the potential hemodynamic effects of sinus rhythm versus atrial fibrillation.Frontiers in cardiovascular medicine · 2022Review
- Framework for patient-specific simulation of hemodynamics in heart failure with counterpulsation support.Frontiers in cardiovascular medicine · 2022Article
- On the Periodicity of Cardiovascular Fluid Dynamics Simulations.Annals of biomedical engineering · 2021Article
- Non-invasive MRI Derived Hemodynamic Simulation to Predict Successful vs. Unsuccessful Catheter Interventions for Branch Pulmonary Artery Stenosis: Proof-of-Concept and Experimental Validation in Swine.Cardiovascular engineering and technology · 2021Article
- A distributed lumped parameter model of blood flow with fluid-structure interaction.Biomechanics and modeling in mechanobiology · 2021Article
- Accelerated Estimation of Pulmonary Artery Stenosis Pressure Gradients with Distributed Lumped Parameter Modeling vs. 3D CFD with Instantaneous Adaptive Mesh Refinement: Experimental Validation in Swine.Annals of biomedical engineering · 2021Article
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Authors and funding
2 authors.
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Abstract
We propose a distributed lumped parameter (DLP) modeling framework to efficiently compute blood flow and pressure in vascular domains. This is achieved by developing analytical expressions describing expected energy losses along vascular segments, including from viscous dissipation, unsteadiness, flow separation, vessel curvature and vessel bifurcations. We apply this methodology to solve for unsteady blood flow and pressure in a variety of complex 3D image-based vascular geometries, which are typically approached using computational fluid dynamics (CFD) simulations. The proposed DLP framework demonstrated consistent agreement with CFD simulations in terms of flow rate and pressure distribution, with mean errors less than 7% over a broad range of hemodynamic conditions and vascular geometries. The computational cost of the DLP framework is orders of magnitude lower than the computational cost of CFD, which opens new possibilities for hemodynamics modeling in timely decision support scenarios, and a multitude of applications of imaged-based modeling that require ensembles of numerical simulations.
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