Influence of wall thickness on fluid-structure interaction computations of cerebral aneurysms

Ryo Torii*, Marie Oshima, Toshio Kobayashi, Kiyoshi Takagi, Tayfun E. Tezduyar

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

83 Citations (Scopus)


Fluid-structure interaction (FSI) analyses of cerebral aneurysm using patient-specific geometry with uniform and pathological aneurysmal wall thickness models are carried out. The objective is to assess the influence of the wall thickness on the FSI and hemodynamics in aneurysms. Two aneurysm models that were reconstructured based on CT images are used. The arterial wall thickness is set to 0.3mm for the non-aneurysmal artery and to 0.05mm for the aneurysmal wall based on experimental findings. Another set of aneurysm models with a uniform wall thickness of 0.3mm for the entire model is used for comparison. The FSI simulations are carried out using the deforming-spatial-domain/stabilized space-time method with physiological inflow and pressure profiles. Computations with different aneurysmal wall thicknesses depict considerable differences in displacement, flow velocity and wall shear stress (WSS). The wall displacement for the pathological wall model is 61% larger than that of the uniform wall model. Consequently, the flow velocities in the aneurysm with the pathological wall model are lower, and that results in a 51% reduction in WSS on the aneurismal wall. Because low WSS on the aneurymal wall is linked to growth and rupture risk of aneurysm, the results suggest that using uniform wall thickness for the aneurysmal wall could underestimate risk in aneurysms.

Original languageEnglish
Pages (from-to)336-347
Number of pages12
JournalInternational Journal for Numerical Methods in Biomedical Engineering
Issue number3-4
Publication statusPublished - 2010 Mar
Externally publishedYes


  • Cerebral aneurysm
  • Fluid-structure interaction
  • Patient-Specific modeling
  • Wall thickness

ASJC Scopus subject areas

  • Software
  • Biomedical Engineering
  • Modelling and Simulation
  • Molecular Biology
  • Computational Theory and Mathematics
  • Applied Mathematics


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