Annals of Biomedical Engineering

, Volume 41, Issue 4, pp 725–743

Virtual Treatment of Basilar Aneurysms Using Shape Memory Polymer Foam

  • J. M. Ortega
  • J. Hartman
  • J. N. Rodriguez
  • D. J. Maitland

DOI: 10.1007/s10439-012-0719-9

Cite this article as:
Ortega, J.M., Hartman, J., Rodriguez, J.N. et al. Ann Biomed Eng (2013) 41: 725. doi:10.1007/s10439-012-0719-9


Numerical simulations are performed on patient-specific basilar aneurysms that are treated with shape memory polymer (SMP) foam. In order to assess the post-treatment hemodynamics, two modeling approaches are employed. In the first, the foam geometry is obtained from a micro-CT scan and the pulsatile blood flow within the foam is simulated for both Newtonian and non-Newtonian viscosity models. In the second, the foam is represented as a porous media continuum, which has permeability properties that are determined by computing the pressure gradient through the foam geometry over a range of flow speeds comparable to those of in vivo conditions. Virtual angiography and additional post-processing demonstrate that the SMP foam significantly reduces the blood flow speed within the treated aneurysms, while eliminating the high-frequency velocity fluctuations that are present within the pre-treatment aneurysms. An estimation of the initial locations of thrombus formation throughout the SMP foam is obtained by means of a low fidelity thrombosis model that is based upon the residence time and shear rate of blood. The Newtonian viscosity model and the porous media model capture similar qualitative trends, though both yield a smaller volume of thrombus within the SMP foam.


Aneurysm Shape memory polymer foam Computational fluid dynamics Post-treatment hemodynamics 



Basilar artery


Computational fluid dynamics




Guglielmi detachable coil


Posterior cerebral artery


Superior cerebellar artery


Shape memory polymer

Supplementary material (7.5 mb)
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Copyright information

© Biomedical Engineering Society 2013

Authors and Affiliations

  • J. M. Ortega
    • 1
  • J. Hartman
    • 2
  • J. N. Rodriguez
    • 3
  • D. J. Maitland
    • 3
  1. 1.Engineering Technologies DivisionLawrence Livermore National LaboratoryLivermoreUSA
  2. 2.Department of NeurosurgeryKaiser Permanente Medical CenterSacramentoUSA
  3. 3.Department of Biomedical EngineeringTexas A&M UniversityCollege StationUSA

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