Research Article

CFD and PIV analysis of hemodynamics in a growing intracranial aneurysm

  1. Marcelo Raschi1,*,
  2. Fernando Mut1,
  3. Greg Byrne1,
  4. Christopher M. Putman2,
  5. Satoshi Tateshima3,
  6. Fernando Viñuela3,
  7. Tetsuya Tanoue4,
  8. Kazuo Tanishita4,
  9. Juan R. Cebral1

Article first published online: 23 AUG 2011

DOI: 10.1002/cnm.1459

Issue

International Journal for Numerical Methods in Biomedical Engineering

International Journal for Numerical Methods in Biomedical Engineering

Volume 28, Issue 2, pages 214–228, February 2012

Additional Information

How to Cite

Raschi, M., Mut, F., Byrne, G., Putman, C. M., Tateshima, S., Viñuela, F., Tanoue, T., Tanishita, K. and Cebral, J. R. (2012), CFD and PIV analysis of hemodynamics in a growing intracranial aneurysm. Int. J. Numer. Meth. Biomed. Engng., 28: 214–228. doi: 10.1002/cnm.1459

Author Information

  1. 1

    Center for Computational Fluid Dynamics, George Mason University, Fairfax, VA, USA

  2. 2

    Interventional Neuroradiology, Inova Fairfax Hospital, Falls Church, VA, USA

  3. 3

    Department of Radiological Sciences, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA

  4. 4

    Department of Systems Design Engineering, Keio University, Yokohama, Japan

*Marcelo Raschi, Center for Computational Fluid Dynamics, George Mason University, 4400 University Drive, MSN 6A2, Fairfax, VA 22030, USA.
E-mail: mraschi@gmu.edu

Publication History

  1. Issue published online: 22 FEB 2012
  2. Article first published online: 23 AUG 2011
  3. Manuscript Accepted: 22 JUN 2011
  4. Manuscript Revised: 17 JUN 2011
  5. Manuscript Received: 10 MAR 2011

Funded by

  • National Institutes of Health. Grant Number: R01NS059063

SEARCH

SEARCH BY CITATION

ARTICLE TOOLS

View Full Article (HTML) Get PDF (1208K)

Keywords:

  • cerebral aneurysms;
  • hemodynamics;
  • growth;
  • computational fluid dynamics;
  • particle image velocimetry

SUMMARY

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. Copyright © 2011 John Wiley & Sons, Ltd.

View Full Article (HTML) Get PDF (1208K)