Abstract
Intracranial aneurysms (IAs) are abnormal dilatations of the cerebral vasculature. Computational modeling may shed light on the aetiology of the disease and lead to improved criteria to assist diagnostic decisions. We briefly review the literature and present novel models on two topical areas of research activity: modeling IA inception and modeling IA evolution. We present a novel computational methodology to remove an IA and reconstruct the geometry of the (unknown) healthy artery. This approach is applied to 22 clinical cases (the largest study of its kind to date) and we analyze whether spatial distributions of hemodynamic stimuli correlate with locations aneurysms are known, a priori, to form. In this study, locations of aneurysm formation are strongly correlated with regions of high wall shear stress (WSS) (19/22 positive correlations); however low correlations are observed with indices which characterize the oscillatory nature of the direction of the wall shear stress vector, e.g., oscillatory shear index (OSI) (7/22). We subsequently outline a fluid-solid-growth framework for modeling aneurysm evolution and illustrate its application to 4 clinical cases depicting IAs. We conclude with a discussion for the direction of future research in this field.
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Acknowledgements
Paul N. Watton is funded by the Center of Excellence in Personalized Healthcare (funded by the Wellcome Trust and EPSRC, grant number WT 088877/Z/09/Z). This support is gratefully acknowledged.
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Watton, P.N., Chen, H., Selimovic, A., Thompson, H., Ventikos, Y. (2013). Intracranial Aneurysms: Modeling Inception and Enlargement. In: Holzapfel, G., Kuhl, E. (eds) Computer Models in Biomechanics. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5464-5_12
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DOI: https://doi.org/10.1007/978-94-007-5464-5_12
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