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Toward large-scale computational fluid-solid-growth models of intracranial aneurysms
Paolo Di Achille1, Jay D Humphrey
1Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.
The Yale Journal of Biology and Medicine
|June 28, 2012
Summary
Developing advanced mathematical models for intracranial aneurysms is crucial for predicting rupture risk. Patient-specific fluid-solid interaction models are a necessary step toward future fluid-solid-growth models.
Area of Science:
- Biomedical Engineering
- Computational Fluid Dynamics
- Vascular Biology
Background:
- Intracranial aneurysms pose significant rupture risks, necessitating better predictive models.
- Current predictive models are limited by the complexity of factors influencing aneurysm natural history.
Purpose of the Study:
- To propose patient-specific fluid-solid interaction (FSI) models as a critical step towards developing fluid-solid-growth (FSG) models for intracranial aneurysms.
- To demonstrate the computational tractability of large-scale FSI models for the circle of Willis and intracranial aneurysms.
Main Methods:
- Utilizing advances in medical imaging, vascular biology, genetics, biomechanics, and computational methods.
- Developing large-scale, patient-specific fluid-solid interaction models of the circle of Willis and intracranial aneurysms.
Main Results:
- Patient-specific FSI models of the circle of Willis are computationally tractable.
- These FSI models are deemed necessary for future FSG models that incorporate wall microstructure.
Conclusions:
- Large-scale, patient-specific FSI models represent a feasible and essential advancement in aneurysm modeling.
- These models pave the way for future FSG models capable of predicting aneurysm evolution and rupture risk.
