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

• Published in: Annals of biomedical engineering Vol. 41; no. 7; pp. 1505 - 1515
• Main Authors: Lu, Jia, Hu, Shouhua, Raghavan, Madhavan L.
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01-07-2013; Springer Nature B.V
• Subjects: Angiography; Arteries - pathology; Arteries - physiopathology; Biochemistry; Biological and Medical Physics; Biomechanics; Biomedical and Life Sciences; Biomedical Engineering and Bioengineering; Biomedicine; Biophysics; Classical Mechanics; Finite Element Analysis; Humans; Intracranial Aneurysm - diagnostic imaging; Intracranial Aneurysm - pathology; Intracranial Aneurysm - physiopathology; Models, Biological; Population studies; Pressure; Stress analysis; Stress, Mechanical; Intracranial aneurysms; Material sensitivity; Patient-specific analysis; Wall stress; Inverse stress analysis; Inverse method
• ISSN: 0090-6964; 1573-9686; 1521-6047
• DOI: 10.1007/s10439-013-0751-4

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.