NDLI: A Shell-Based Inverse Approach of Stress Analysis in Intracranial Aneurysms

Content Provider	Springer Nature Link
Author	Lu, Jia Hu, Shouhua Raghavan, Madhavan L.
Copyright Year	2013
Abstract	Predicting pressure induced wall stress in intracranial aneurysms continues to be of interest for aneurysm safety assessment. In quasi-static analysis, there are two distinct approaches that one may take, the forward approach and the inverse approach. The inverse approach starts from a deformed configuration and thus is naturally suited to image-based, patient-specific analysis. Early studies by the authors’ team suggested that the inverse approach, in the context of estimating the wall stress in cerebral aneurysms, depends weakly on the material description. In this article, we present a population study to further demonstrate the inverse method, in particular, the remarkable feature of insensitivity to material properties. Twenty-six aneurysm models derived from patient-specific images were employed in the study. Wall stresses were predicted in both the inverse and forward approaches using three material models. Results showed that, while forward computation yielded up to ~100% stress difference between some materials, the inverse solutions stayed close across materials. The inverse method, in addition to being methodologically accurate in dealing with pre-deformations, has the added convenience of insensitivity to uncertainties in wall tissue properties. New insight into the stress-geometry relation was also discussed.
Starting Page	1505
Ending Page	1515
Page Count	11
File Format	PDF
ISSN	00906964
Journal	Annals of Biomedical Engineering
Volume Number	41
Issue Number	7
e-ISSN	15739686
Language	English
Publisher	Springer US
Publisher Date	2013-02-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Intracranial aneurysms Wall stress Patient-specific analysis Material sensitivity Inverse method Inverse stress analysis Biomedicine general Biomedical Engineering Biophysics and Biological Physics Mechanics Biochemistry
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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