Publication | Closed Access
Structured tree outflow condition for blood flow in larger systemic arteries
434
Citations
38
References
1999
Year
EngineeringLarger Systemic ArteriesBiomedical EngineeringComputational MechanicsBlood FlowBiomechanicsBiostatisticsBlood Flow MeasurementCardiologyAtherosclerosisBoundary ConditionVascular AdaptationVascular BiologyBiomedical ModelingBiomedical FlowCardiovascular DiseasePhysiologyDynamic Boundary ConditionElectrophysiologyMedicineAnesthesiology
A central problem in modeling blood flow and pressure in the larger systemic arteries is determining a physiologically based boundary condition so that the arterial tree can be truncated after a few generations. The authors use a structured tree attached to the terminal branches of the truncated arterial tree, estimating root impedance via a semianalytical approach based on linearized viscous Navier–Stokes equations, and validate the model by comparing it with pure resistance, windkessel models, and measured data. The structured tree provides a dynamic boundary condition that preserves the phase lag and high‑frequency oscillations in impedance spectra, accommodates wave propagation throughout the systemic arterial tree, and yields a model that is both physiologically adequate and computationally feasible.
A central problem in modeling blood flow and pressure in the larger systemic arteries is determining a physiologically based boundary condition so that the arterial tree can be truncated after a few generations. We have used a structured tree attached to the terminal branches of the truncated arterial tree in which the root impedance is estimated using a semianalytical approach based on a linearization of the viscous axisymmetric Navier-Stokes equations. This provides a dynamic boundary condition that maintains the phase lag between blood flow and pressure as well as the high-frequency oscillations present in the impedance spectra. Furthermore, it accommodates the wave propagation effects for the entire systemic arterial tree. The result is a model that is physiologically adequate as well as computationally feasible. For validation, we have compared the structured tree model with a pure resistance and a windkessel model as well as with measured data.
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