J Korean Soc Radiol.  2013 Jul;69(1):5-10. 10.3348/jksr.2013.69.1.5.

Computational Fluid Dynamics of Intracranial Artery Using 3-Dimensional Angiography: Potentials and Technical Considerations

Affiliations
  • 1Department of Radiology, Soonchunhyang University College of Medicine, Seoul Hospital, Seoul, Korea. stpark@schmc.ac.kr
  • 2Department of Mechanical Engineering, Dankook University College of Engineering, Yongin, Korea.
  • 3Molds & Dies Technology R&D Group, KITECH (Korea Institute of Industrial Technology), Cheonan, Korea.
  • 4Department of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.

Abstract

We report the potentials and limitations of computational fluid dynamics (CFD) analysis of patient-specific intracranial model with modification of proximal and distal length. Flow pattern does not seem to be affected by the length of proximal internal carotid artery. However, most of the flow was directed to the shorter distal part. Our study could serve as a technical reference to validating other tools and CFD results.


MeSH Terms

Angiography
Arteries
Carotid Artery, Internal
Cerebral Arteries
Hydrodynamics

Figure

  • Fig. 1 Work flow of computational fluid analysis. Note.-CFD = computational fluid dynamics, STL = standard template library, 3D = 3-dimensional

  • Fig. 2 Original and modified models shows changes of velocity at individual vessels. A. Original 3-dimensional model. Computational fluid dynamics analysis shows velocity cut surface in systolic phase. B. Original model. C. Short middle cerebral artery (arrow) model. D. Short proximal model. E. Proximal elongated model


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