ArticleBiomechanics and modeling in mechanobiology2016
In silico coronary wave intensity analysis: application of an integrated one-dimensional and poromechanical model of cardiac perfusion.
Article in Biomechanics and modeling in mechanobiology, 2016. 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.
- Oxygen Transport Impairment in the Failing Heart: A Histology-Image-Based Computational Analysis.Annals of biomedical engineering · 2026Article
- Multicompartment Darcy Flow Model With Patient-Specific Parameterization: Effect of Heterogeneity and Anisotropy in Porous Parameters.International journal for numerical methods in biomedical engineering · 2025Article
- A stabilized linear finite element method for anisotropic poroelastodynamics with application to cardiac perfusion.Computer methods in applied mechanics and engineering · 2023Article
- A nonlinear multi-scale model for blood circulation in a realistic vascular system.Royal Society open science · 2021Article
- A poroelastic immersed finite element framework for modelling cardiac perfusion and fluid-structure interaction.International journal for numerical methods in biomedical engineering · 2021Article
- The Comparison of Different Constitutive Laws and Fiber Architectures for the Aortic Valve on Fluid-Structure Interaction Simulation.Frontiers in physiology · 2021Article
- An efficient and accurate method for modeling nonlinear fractional viscoelastic biomaterials.Computer methods in applied mechanics and engineering · 2020Article
- Measurement, Analysis and Interpretation of Pressure/Flow Waves in Blood Vessels.Frontiers in physiology · 2020Review
- Effects of Mechanical Dyssynchrony on Coronary Flow: Insights From a Computational Model of Coupled Coronary Perfusion With Systemic Circulation.Frontiers in physiology · 2020Article
- A One-Dimensional Hemodynamic Model of the Coronary Arterial Tree.Frontiers in physiology · 2019Article
- Major influence of a 'smoke and mirrors' effect caused by wave reflection on early diastolic coronary arterial wave intensity.The Journal of physiology · 2018Article
- Impact of coronary bifurcation morphology on wave propagation.American journal of physiology. Heart and circulatory physiology · 2016Article
- Review of cardiac-coronary interaction and insights from mathematical modeling.WIREs mechanisms of diseaseReview
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Authors and funding
5 authors.
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Abstract
Coronary wave intensity analysis (cWIA) is a diagnostic technique based on invasive measurement of coronary pressure and velocity waveforms. The theory of WIA allows the forward- and backward-propagating coronary waves to be separated and attributed to their origin and timing, thus serving as a sensitive and specific cardiac functional indicator. In recent years, an increasing number of clinical studies have begun to establish associations between changes in specific waves and various diseases of myocardium and perfusion. These studies are, however, currently confined to a trial-and-error approach and are subject to technological limitations which may confound accurate interpretations. In this work, we have developed a biophysically based cardiac perfusion model which incorporates full ventricular-aortic-coronary coupling. This was achieved by integrating our previous work on one-dimensional modelling of vascular flow and poroelastic perfusion within an active myocardial mechanics framework. Extensive parameterisation was performed, yielding a close agreement with physiological levels of global coronary and myocardial function as well as experimentally observed cumulative wave intensity magnitudes. Results indicate a strong dependence of the backward suction wave on QRS duration and vascular resistance, the forward pushing wave on the rate of myocyte tension development, and the late forward pushing wave on the aortic valve dynamics. These findings are not only consistent with experimental observations, but offer a greater specificity to the wave-originating mechanisms, thus demonstrating the value of the integrated model as a tool for clinical investigation.
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