Published July 1, 2013 | Version v1
Journal article

Multi-scale computational model of three-dimensional hemodynamics within a deformable full-body arterial network

  • 1. Department of Biomedical Engineering, King's College London, London SE1 7EH (United Kingdom)
  • 2. Department of Bioengineering, Stanford University, Stanford, CA 94305 (United States)
  • 3. Department of Biomedical Engineering, Yale University, New Haven, CT 06520 (United States)

Description

In this article, we present a computational multi-scale model of fully three-dimensional and unsteady hemodynamics within the primary large arteries in the human. Computed tomography image data from two different patients were used to reconstruct a nearly complete network of the major arteries from head to foot. A linearized coupled-momentum method for fluid–structure-interaction was used to describe vessel wall deformability and a multi-domain method for outflow boundary condition specification was used to account for the distal circulation. We demonstrated that physiologically realistic results can be obtained from the model by comparing simulated quantities such as regional blood flow, pressure and flow waveforms, and pulse wave velocities to known values in the literature. We also simulated the impact of age-related arterial stiffening on wave propagation phenomena by progressively increasing the stiffness of the central arteries and found that the predicted effects on pressure amplification and pulse wave velocity are in agreement with findings in the clinical literature. This work demonstrates the feasibility of three-dimensional techniques for simulating hemodynamics in a full-body compliant arterial network

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jcp.2012.09.016

Additional details

Identifiers

DOI
10.1016/j.jcp.2012.09.016;
PII
S0021-9991(12)00547-5;

Publishing Information

Journal Title
Journal of Computational Physics
Journal Volume
244
Journal Page Range
p. 22-40
ISSN
0021-9991
CODEN
JCTPAH

Optional Information

Copyright
Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.