CFD and PIV analysis of hemodynamics in a growing intracranialaneurysm

Marcelo Raschi*, Fernando Mut, Greg Byrne, Christopher M. Putman, Satoshi Tateshima, Fernando Viñuela, Tetsuya Tanoue, Kazuo Tanishita, Juan R. Cebral

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

67 Citations (Scopus)


Hemodynamics is thought to be a fundamental factor in the formation, progression, and rupture of cerebral aneurysms. Understanding these mechanisms is important to improve their rupture risk assessment and treatment. In this study, we analyze the blood flow field in a growing cerebral aneurysm using experimental particle image velocimetry (PIV) and computational fluid dynamics (CFD) techniques. Patient-specific models were constructed from longitudinal 3D computed tomography angiography images acquired at 1-y intervals. Physical silicone models were constructed from the computed tomography angiography images using rapid prototyping techniques, and pulsatile flow fields were measured with PIV. Corresponding CFD models were created and run under matching flow conditions. Both flow fields were aligned, interpolated, and compared qualitatively by inspection and quantitatively by defining similarity measures between the PIV and CFD vector fields. Results showed that both flow fields were in good agreement. Specifically, both techniques provided consistent representations of the main intra-aneurysmal flow structures and their change during the geometric evolution of the aneurysm. Despite differences observed mainly in the near wall region, and the inherent limitations of each technique, the information derived is consistent and can be used to study the role of hemodynamics in the natural history of intracranial aneurysms.

Original languageEnglish
Pages (from-to)214-228
Number of pages15
JournalInternational Journal for Numerical Methods in Biomedical Engineering
Issue number2
Publication statusPublished - 2012 Feb
Externally publishedYes


  • Cerebral aneurysms
  • Computational fluid dynamics
  • Growth
  • Hemodynamics
  • Particle image velocimetry

ASJC Scopus subject areas

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


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