CFD Analysis Incorporating the Influence of Wall Motion: Application to Intracranial Aneurysms

  • Laura Dempere-Marco
  • Estanislao Oubel
  • Marcelo Castro
  • Christopher Putman
  • Alejandro Frangi
  • Juan Cebral
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)


Haemodynamics, and in particular wall shear stress, is thought to play a critical role in the progression and rupture of intracranial aneurysms. A novel method is presented that combines image-based wall motion estimation obtained through non-rigid registration with computational fluid dynamics (CFD) simulations in order to provide realistic intra-aneurysmal flow patterns and understand the effects of deforming walls on the haemodynamic patterns. In contrast to previous approaches, which assume rigid walls or ad hoc elastic parameters to perform the CFD simulations, wall compliance has been included in this study through the imposition of measured wall motions. This circumvents the difficulties in estimating personalized elasticity properties. Although variations in the aneurysmal haemodynamics were observed when incorporating the wall motion, the overall characteristics of the wall shear stress distribution do not seem to change considerably. Further experiments with more cases will be required to establish the clinical significance of the observed variations.


Computational Fluid Dynamic Wall Motion Wall Shear Stress Intracranial Aneurysm Computational Fluid Dynamic Simulation 
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  1. 1.
    Wiebers, D.O., Whisnant, J.P., Huston 3rd, J., Meissner, I., Brown Jr, R.D., Piepgras, D.G., Forbes, G.S., Thielen, K., Nichols, D., O’Fallon, W.M., Peacock, J., Jaeger, L., Kassell, N.F., Kongable-Beckman, G.L., Torner, J.C.: International Study of Unruptured Intracranial Aneurysms Investigators. Unruptured Intracranial Aneurysms: Natural History, Clinical Outcome, and Risks of Surgical and Endovascular Treatment. Lancet 362(9378), 103–110 (2003)CrossRefGoogle Scholar
  2. 2.
    Meyer, F.B., Huston 3rd, J., Riederer, S.S.: Pulsatile increases in aneurysm size determined by cine phase-contrast MR angiography. J. Neurosurg 78(6), 879–883 (1993)CrossRefGoogle Scholar
  3. 3.
    Ishida, F., Ogawa, H., Simizu, T., Kojima, T., Taki, W.: Visualizing the Dynamics of Cerebral Aneurysms with Four-Dimensional Computed Tomographic Angiography. Neurosurgery 57, 460–471 (2005)CrossRefGoogle Scholar
  4. 4.
    Hayakawa, M., Katada, K., Anno, H., Imizu, S., Hayashi, J., Irie, K., Negoro, M., Kato, Y., Kanno, T., Sano, H.: CT Angiography with Electrocardiographically Gated Reconstruction for Visualizing Pulsation of Intracranial Aneurysms: Identification of Aneurysmal Protuberance Presumably Associated with Wall Thinning. Am. J. Neuroradiol. 26, 1366–1369 (2005)Google Scholar
  5. 5.
    Cebral, J.R., Castro, M.A., Appanaboyina, S., Putman, C., Millan, D., Frangi, A.F.: Efficient Pipeline for Image-Based Patient-Specific Analysis of Cerebral Aneurysm Haemodynamics: Technique and Sensitivity. IEEE T. Med. Imaging 24(4), 457–467 (2005)CrossRefGoogle Scholar
  6. 6.
    Liou, T.M., Liou, S.N.: A review of in vitro studies of hemodynamic characteristics in terminal and lateral aneurysm models. Proc. Nat. Sci. Council (B) 23(4), 133–148 (1999)Google Scholar
  7. 7.
    Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Non-rigid registration using free-form deformations: Application to breast MR images. IEEE T. Med. Imaging 18(8), 712–721 (1999)CrossRefGoogle Scholar
  8. 8.
    Studholme, C., Hill, D.L.G., Hawkes, D.J.: An overlap invariant entropy measure of 3D medical image alignment. Pattern Recogn. 32(1), 71–86 (1999)CrossRefGoogle Scholar
  9. 9.
    Löhner, R.: Automatic unstructured grid generators. Finite Elem. Anal. Des. 25, 111–134 (1997)zbMATHCrossRefMathSciNetGoogle Scholar
  10. 10.
    Löhner, R., Yang, C.: Improved ALE Mesh Velocities for Moving Bodies. Comm. Numer. Meth. En. 12, 599–608 (1996)zbMATHCrossRefGoogle Scholar
  11. 11.
    Shojima, M., Oshima, M., Takagi, K., Torii, R., Hayakawa, M., Katada, K., Morita, A., Kirino, T.: Magnitude and role of wall shear stress on cerebral aneurysm. Computational fluid dynamic study of 20 middle cerebral artery aneurysms. Stroke 35, 2500–2505 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Laura Dempere-Marco
    • 1
  • Estanislao Oubel
    • 1
  • Marcelo Castro
    • 2
  • Christopher Putman
    • 3
  • Alejandro Frangi
    • 1
  • Juan Cebral
    • 2
  1. 1.Department of TechnologyPompeu Fabra UniversityBarcelonaSpain
  2. 2.School of Computational SciencesGeorge Mason UniversityFairfaxUSA
  3. 3.Interventional NeuroradiologyInova Fairfax HospitalFalls ChurchUSA

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