Fractals and Chaos in the Hemodynamics of Intracranial Aneurysms

Chapter
Part of the Springer Series in Computational Neuroscience book series (NEUROSCI)

Abstract

Computing the emerging flow in blood vessel sections by means of computational fluid dynamics is an often applied practice in hemodynamics research. One particular area for such investigations is related to the cerebral aneurysms, since their formation, pathogenesis and the risk of a potential rupture may be flow-related. We present a study on the behavior of small advected particles in cerebral vessel sections in the presence of aneurysmal malformations. These malformations cause strong flow disturbances driving the system towards chaotic behavior. Within these flows the particle trajectories can form a fractal structure, the properties of which are measurable by quantitative techniques. The measurable quantities are well established chaotic properties, such as the Lyapunov exponent, escape rate and information dimension. Based on these findings, we propose that chaotic flow within blood vessels in the vicinity of the aneurysm might be relevant for the pathogenesis and development of this malformation.

Keywords

Cerebral aneurysm Computational fluid dynamics Chaotic advection Passive tracers Fractals Information dimension 

Notes

Acknowledgements

Financial support from OTKA no. K 100894 and NK 100296, as well as from the KTIA_NAP_13-1-2013-0001 Hungarian Brain Research Program is gratefully acknowledged.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Department of Hydrodynamic SystemsBudapest University of Technology and EconomicsBudapestHungary
  2. 2.Institute of Nuclear TechniquesBudapest University of Technology and EconomicsBudapestHungary
  3. 3.Department of NeurointerventionsNational Institute of Clinical NeurosciencesBudapestHungary

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