NDLI: Patient-Specific Wall Stress Analysis in Cerebral Aneurysms Using Inverse Shell Model

Content Provider	Springer Nature Link
Author	Zhou, Xianlian Raghavan, Madhavan L. Harbaugh, Robert E. Lu, Jia
Copyright Year	2009
Abstract	Stress analyses of patient-specific vascular structures commonly assume that the reconstructed in vivo configuration is stress free although it is in a pre-deformed state. We submit that this assumption can be obviated using an inverse approach, thus increasing accuracy of stress estimates. In this paper, we introduce an inverse approach of stress analysis for cerebral aneurysms modeled as nonlinear thin shell structures, and demonstrate the method using a patient-specific aneurysm. A lesion surface derived from medical images, which corresponds to the deformed configuration under the arterial pressure, is taken as the input. The wall stress in the given deformed configuration, together with the unstressed initial configuration, are predicted by solving the equilibrium equations as opposed to traditional approach where the deformed geometry is assumed stress free. This inverse approach also possesses a unique advantage, that is, for some lesions it enables us to predict the wall stress without accurate knowledge of the wall elastic property. In this study, we also investigate the sensitivity of the wall stress to material parameters. It is found that the in-plane component of the wall stress is indeed insensitive to the material model.
Starting Page	478
Ending Page	489
Page Count	12
File Format	PDF
ISSN	00906964
Journal	Annals of Biomedical Engineering
Volume Number	38
Issue Number	2
e-ISSN	15739686
Language	English
Publisher	Springer US
Publisher Date	2009-11-21
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cerebral aneurysms Wall stress Patient-specific analysis Inverse elastostatics Inverse shell analysis Biochemistry Mechanics Biophysics and Biological Physics Biomedical Engineering Biomedicine general
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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