Abstract
Background: Various computational models of the circle of Willis (CoW) have been developed to non-invasively estimate the blood flow and hemodynamic parameters in intracranial arteries for the assessment of clinical risks such as aneurysms, ischemia, and atherosclerotic plaque growth. This review aims to
categorize the latest computational models of CoW and summarize the innovative techniques.
Summary of Review: In traditional computational models of CoW, the computational complexity increased from zero-dimensional models to one-dimensional and three-dimensional models. The applications extend from
estimating certain hemodynamic parameters to simulating local flow field. The innovative techniques include the combination of models with different dimensions, the extension of vascular structure including heart and
veins, as well as the addition of distal fractality, cerebral autoregulation, and intracranial pressure. There are some nontraditional models based on fluid-solid-interaction, control theory, and in-vitro experiments. In all kinds of models, the in-vivo data and non-Newtonian rheological models of blood have been widely applied to improve the accuracy of hemodynamic simulation.
Conclusion: Firstly, the selection of model depends on its application scenario. The balance between computational complexity and physiological accuracy deserves further investigation. Secondly, the improvement of CoW models relies on the large-scale validations and the combination of various innovative modeling techniques.
categorize the latest computational models of CoW and summarize the innovative techniques.
Summary of Review: In traditional computational models of CoW, the computational complexity increased from zero-dimensional models to one-dimensional and three-dimensional models. The applications extend from
estimating certain hemodynamic parameters to simulating local flow field. The innovative techniques include the combination of models with different dimensions, the extension of vascular structure including heart and
veins, as well as the addition of distal fractality, cerebral autoregulation, and intracranial pressure. There are some nontraditional models based on fluid-solid-interaction, control theory, and in-vitro experiments. In all kinds of models, the in-vivo data and non-Newtonian rheological models of blood have been widely applied to improve the accuracy of hemodynamic simulation.
Conclusion: Firstly, the selection of model depends on its application scenario. The balance between computational complexity and physiological accuracy deserves further investigation. Secondly, the improvement of CoW models relies on the large-scale validations and the combination of various innovative modeling techniques.
Original language | English |
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Pages (from-to) | 156261 - 156273 |
Number of pages | 13 |
Journal | IEEE Access |
Volume | 8 |
DOIs | |
Publication status | Published - 7 Jul 2020 |
Bibliographical note
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/Funding
Funders | Funder number |
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Basic Research Foundation of Shenzhen | GJHZ20180928155002157 |
National Natural Science Foundation of China | 61828104, N_CUHK421/16 |
Ministry of Education | |
Research Grants Council, University Grants Committee | 14204117, 14106019 |
Ministry of Finance China | |
National Development and Reform Commission |
Keywords
- Brain modeling
- computational modeling
- circle of Willis (CoW)
- Windkessel effect
- pulse wave
- computational fluid dynamics (CFD)
- cerebral blood flow
- intracranial arteries
ASJC Scopus subject areas
- General Engineering
- General Materials Science
- General Computer Science