ArticleAnnals of biomedical engineering2013
A shell-based inverse approach of stress analysis in intracranial aneurysms.
Article in Annals of biomedical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 25 citations in OpenAlex.
- Comprehensive morphomechanical and wall enhancement analysis of intracranial aneurysms.European radiology · 2025Article
- Regional Stiffness and Hardening Indices: New Indicators Derived from Multidimensional Dynamic CTA for Aneurysm Risk Assessment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Brain Aneurysm Biology: What Can We Learn From Imaging?Stroke (Hoboken, N.J.) · 2022Article
- Adaptive Remodeling in the Elastase-induced Rabbit Aneurysms.Experimental mechanics · 2021Article
- Analysis of Cerebral Aneurysm Wall Tension and Enhancement Using Finite Element Analysis and High-Resolution Vessel Wall Imaging.Frontiers in neurology · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
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