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Computational and Mathematical Methods in Medicine
Article . 2013 . Peer-reviewed
License: CC BY
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Other literature type . 2013
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Simulation of Intra-Aneurysmal Blood Flow by Different Numerical Methods

Authors: Frank Weichert; Lars Walczak; Denis Fisseler; Tobias Opfermann; Mudassar Razzaq; Raphael Münster; Stefan Turek; +4 Authors

Simulation of Intra-Aneurysmal Blood Flow by Different Numerical Methods

Abstract

The occlusional performance of sole endoluminal stenting of intracranial aneurysms is controversially discussed in the literature. Simulation of blood flow has been studied to shed light on possible causal attributions. The outcome, however, largely depends on the numerical method and various free parameters. The present study is therefore conducted to find ways to define parameters and efficiently explore the huge parameter space with finite element methods (FEMs) and lattice Boltzmann methods (LBMs). The goal is to identify both the impact of different parameters on the results of computational fluid dynamics (CFD) and their advantages and disadvantages. CFD is applied to assess flow and aneurysmal vorticity in 2D and 3D models. To assess and compare initial simulation results, simplified 2D and 3D models based on key features of real geometries and medical expert knowledge were used. A result obtained from this analysis indicates that a combined use of the different numerical methods, LBM for fast exploration and FEM for a more in-depth look, may result in a better understanding of blood flow and may also lead to more accurate information about factors that influence conditions for stenting of intracranial aneurysms.

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Keywords

Finite Element Analysis, Models, Cardiovascular, Computational Biology, 600, Intracranial Aneurysm, Cardiovascular, Imaging, 620, Imaging, Three-Dimensional, Models, Regional Blood Flow, Cerebrovascular Circulation, Three-Dimensional, Hydrodynamics, Intracranial Aneurysm/physiopathology, Humans, Stents, Research Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Top 10%
Green
gold