Skip to main content

Advertisement

Log in

Quantitative comparison of hemodynamics in simulated and 3D angiography models of cerebral aneurysms by use of computational fluid dynamics

  • Published:
Radiological Physics and Technology Aims and scope Submit manuscript

Abstract

In this study, we evaluated hemodynamics using simulated models and determined how cerebral aneurysms develop in simulated and patient-specific models based on medical images. Computational fluid dynamics (CFD) was analyzed by use of OpenFOAM software. Flow velocity, stream line, and wall shear stress (WSS) were evaluated in a simulated model aneurysm with known geometry and in a three-dimensional angiographic model. The ratio of WSS at the aneurysm compared with that at the basilar artery was 1:10 in simulated model aneurysms with a diameter of 10 mm and 1:18 in the angiographic model, indicating similar tendencies. Vortex flow occurred in both model aneurysms, and the WSS decreased in larger model aneurysms. The angiographic model provided accurate CFD information, and the tendencies of simulated and angiographic models were similar. These findings indicate that hemodynamic effects are involved in the development of aneurysms.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Kumar V, Cotran SR, Robbins LS. Robbins basic pathology. 7th ed. Philadelphia: Elsevier Saunders; 2003. p. 409–54.

    Google Scholar 

  2. Nagahiro S, Satoh K, Nakajima N, Hamada J, Ushio Y. Growth mechanism and treatment of partially thrombosed giant aneurysm. Jpn J Neurosurg. 2001;10:10–7.

    Google Scholar 

  3. Yasukawa K, Kamijo Y, Momose G, Kobayashi S, Ikeda A. A case of anterior cerebral artery dissecting aneurysm presenting subarachnoid hemorrhage and cerebral infarction at the same time. Surg Cereb Stroke. 1993;21:461–6.

    Article  Google Scholar 

  4. Hoi Y, Meng H, Woodward SH, Bendok BR, Hanel RA, Guterman LR, Hopkins LN. Effects of arterial geometry on aneurysm growth: three-dimensional computational fluid dynamics study. J Neurosurg. 2004;101:676–81.

    Article  PubMed  Google Scholar 

  5. Nakatani H, Hashimoto N, Kang Y. Cerebral blood flow patterns at major vessel bifurcations and aneurysms in rats. J Neurosurg. 1991;74:258–62.

    Article  CAS  PubMed  Google Scholar 

  6. Gonzalez CF, Choi YI, Ortega V. Intracranial aneurysms: flow analysis of their origin and progression. Am J Neuroradiol. 1992;13:181–8.

    CAS  PubMed  Google Scholar 

  7. Jameson A, Martinelli L, Pierce NA. Optimum aerodynamic design using the Navier-Stokes equations. Theoret Comput Fluid Dyn. 1998;10:213–37.

    Article  Google Scholar 

  8. Endo T, Matsuoka S, Hashizume N, Nagasaka M. Performance evaluation of TSUBAME heterogeneous supercomputer with linpack. Inf Process Soc Jpn. 2007;48:62–70.

    Google Scholar 

  9. Zhang Y, Furusawa T, Sia SF, Umezu M, Qian Y. Proposition of an outflow boundary approach for carotid artery stenosis CFD simulation. Comput Methods Biomech Biomed Eng. 2013;16:488–94.

    Article  Google Scholar 

  10. Steinman D, Milner J, Norley JC, Lownie S, Holdsworth WD. Image-based computational simulation of flow dynamics in a giant intracranial aneurysm. Am J Neuroradiol. 2003;24:559–66.

    PubMed  Google Scholar 

  11. Papathanasopoulou P, Zhao S, Köhler U, Robertson MB, Long Q, Hoskins P, Xu XY, Marshall I. MRI measurement of time-resolved wall shear stress vectors in a carotid bifurcation model, and comparison with CFD predictions. J Magn Reson Imag. 2003;17:153–62.

    Article  Google Scholar 

  12. Raj S, Irani FG, Tay KH, Tan BS. C-arm cone beam computed tomography: a new tool in the interventional suite. Ann Acad Med. 2013;42:585–92.

    Google Scholar 

  13. Fiorella D, Arthur A, Schafer S. Minimally invasive cone beam CT-guided evacuation of parenchymal and ventricular hemorrhage using the Apollo system: proof of concept in a cadaver model. J NeuroIntervent Surg. 2014;0:1–5. doi:10.1136/neurintsurg-2014-011293.

    Google Scholar 

  14. White PM, Wardlaw JM. Unruptured intracranial aneurysms. J Neuroradiol. 2003;30:336–50.

    CAS  PubMed  Google Scholar 

  15. Ujiie H, Tamano Y, Sasaki K, Hori T. Is the aspect ratio a reliable index for predicting the rupture of a saccular aneurysm? Neurosurgery. 2001;48:495–503.

    Article  CAS  PubMed  Google Scholar 

  16. Ma B, Harbaugh RE, Raghavan ML. Three-dimensional geometrical characterization of cerebral aneurysms. Ann Biomed Eng. 2004;32:264–73.

    Article  PubMed  Google Scholar 

  17. Millan D, Dempere ML, Pozo JM, Cebral JR, Frangi AF. Morphological characterization of intracranial aneurysms using 3-D moment invariants. IEEE Trans Med Imag. 2007;26:1270–82.

    Article  CAS  Google Scholar 

  18. Saho T, Onishi H, Sugihara T, Nakamura Y, Yuda I. Tackling hemodynamic analysis of the carotid artery using open-source software and computational fluid dynamics. Jpn J Radiol Technol. 2012;69:1241–9.

    Article  Google Scholar 

  19. Nixon AM, Gunel M, Sumpio BE. The critical role of hemodynamics in the development of cerebral vascular disease. J Neurosurg. 2010;112:1240–53.

    Article  PubMed  Google Scholar 

  20. The OpenCFD Foundation. OpenFOAM Users Guide Ver 2.3.1 3rd December 2014. Paris: OpenCFD Foundation; 2014.

  21. Castro MA, Putman CM, Cebral JR. Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intra-aneurysmal hemodynamics. Am J Neuroradiol. 2006;27:1703–9.

    CAS  PubMed  Google Scholar 

  22. Yamamoto S, Maruyama S, Nakahara Y, Yoneyama S, Tanifuji S, Wada S, Hamada S, Komizu M, Johkoh T, Yamaguchi M, Doi M, Yamaguchi T. Abdominal aortic aneurysm using multislice computed tomography. Computed flow dynamics in abdominal aortic aneurysm using multislice computed tomography. Jpn J Radiol Technol. 2006;62:115–21.

    Article  Google Scholar 

  23. Soustiel FJ, Shik V, Shreiber R, Tavor Y, Goldsher D. Basilar vasospasm diagnosis investigation of a modified “Lindegaard Index” based on imaging studies and blood velocity measurements of the basilar artery. Stroke. 2002;33:72–8.

    Article  PubMed  Google Scholar 

  24. Caretto LS, Gosman AD, Patankar SV, Spalding DB. Two calculation procedures for steady, three-dimensional flows with recirculation. Third Int Conf Numer Methods Fluid Mech. 1973;19:60–8.

    Article  Google Scholar 

  25. Yin R, Chow KW. Comparison of four algorithms for solving pressure-velocity linked equations in simulating atrium fire. Int J Archit Sci. 2003;4:24–35.

    Google Scholar 

Download references

Conflict of interest

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tatsunori Saho.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Saho, T., Onishi, H. Quantitative comparison of hemodynamics in simulated and 3D angiography models of cerebral aneurysms by use of computational fluid dynamics. Radiol Phys Technol 8, 258–265 (2015). https://doi.org/10.1007/s12194-015-0315-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12194-015-0315-4

Keywords

Navigation