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Cited by 339

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An Anatomically Based Model of Transient Coronary Blood Flow in the Heart

Smith, N. P., Pullan, A. J., Hunter, P. J.·2002·SIAM Journal on Applied Mathematics

Abstract

An efficient finite difference model of blood flow through the coronary vessels is developed and applied to a geometric model of the largest six generations of the coronary arterial network. By constraining the form of the velocity profile across the vessel radius, the three-dimensional Navier--Stokes equations are reduced to one-dimensional equations governing conservation of mass and momentum. These equations are coupled to a pressure-radius relationship characterizing the elasticity of the vessel wall to describe the transient blood flow through a vessel segment. The two step Lax--Wendroff finite difference method is used to numerically solve these equations. The flow through bifurcations, where three vessel segments join, is governed by the equations of conservation of mass and momentum. The solution to these simultaneous equations is calculated using the multidimensional Newton--Raphson method. Simulations of blood flow through a geometric model of the coronary network are presented demonstrating physiologically realistic flow rates, washout curves, and pressure distributions.

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Metadata

Authors
Smith, N. P., Pullan, A. J., & Hunter, P. J.
Venue
SIAM Journal on Applied Mathematics
Published
2002-01
Volume
62
Issue
3
Pages
990-1018
ISSN
  • 0036-1399 (ISSN-L)
  • 1095-712X
OpenAlex
W2032767423
Cited by
339
References
1
FWCI
13.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Anatomically Based Model of Transient Coronary Blood Flow in the Heart. https://app.cochat.ai/papers/10.1137/s0036139999355199
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Smith, N. P., Pullan, A. J., & Hunter, P. J. (2002). An Anatomically Based Model of Transient Coronary Blood Flow in the Heart. SIAM Journal on Applied Mathematics. https://doi.org/10.1137/s0036139999355199

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.