Biomechanics and Modeling in Mechanobiology

, Volume 9, Issue 4, pp 481–498 | Cite as

Computational vascular fluid–structure interaction: methodology and application to cerebral aneurysms

  • Y. Bazilevs
  • M.-C. Hsu
  • Y. Zhang
  • W. Wang
  • T. Kvamsdal
  • S. Hentschel
  • J. G. Isaksen
Open Access
Original Paper


A computational vascular fluid–structure interaction framework for the simulation of patient-specific cerebral aneurysm configurations is presented. A new approach for the computation of the blood vessel tissue prestress is also described. Simulations of four patient-specific models are carried out, and quantities of hemodynamic interest such as wall shear stress and wall tension are studied to examine the relevance of fluid–structure interaction modeling when compared to the rigid arterial wall assumption. We demonstrate that flexible wall modeling plays an important role in accurate prediction of patient-specific hemodynamics. Discussion of the clinical relevance of our methods and results is provided.


Cerebral aneurysms Fluid–structure interaction Arterial wall tissue modeling Incompressible Navier–Stokes equations Boundary layer meshing Wall shear stress Wall tension Tissue prestress 



We wish to thank the Texas Advanced Computing Center (TACC) at the University of Texas at Austin for providing HPC resources that have contributed to the research results reported within this paper. This work was partially supported by a research grant from the regional health authorities in northern Norway. Support of Teragrid Grant No. MCAD7S032 is also gratefully acknowledged. We thank Prof. Tor Ingebrigtsen, Institute for Clinical Medicine, University of Tromsø, Norway, and the Department of Neurosurgery, the University Hospital of North Norway for generously devoting his time to discuss and evaluate the results of this work and their relevance to clinical practice.

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.


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Copyright information

© The Author(s) 2010

Authors and Affiliations

  • Y. Bazilevs
    • 1
  • M.-C. Hsu
    • 1
  • Y. Zhang
    • 2
  • W. Wang
    • 2
  • T. Kvamsdal
    • 3
  • S. Hentschel
    • 4
  • J. G. Isaksen
    • 5
    • 6
  1. 1.Department of Structural EngineeringUniversity of California, San DiegoLa JollaUSA
  2. 2.Department of Mechanical EngineeringCarnegie Mellon UniversityPittsburghUSA
  3. 3.Department of Applied MathematicsSINTEF Information and Communication TechnologyTrondheimNorway
  4. 4.Department of Scientific ComputingSimulaFornebuNorway
  5. 5.Departments of Neurosurgery and NeurologyUniversity Hospital of North NorwayTromsøNorway
  6. 6.Institute of Clinical MedicineUniversity of TromsøTromsøNorway

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