A new inverse method for estimation of in vivo mechanical properties of the aortic wall

Minliang Liu, Liang Liang, Wei Sun

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


The aortic wall is always loaded in vivo, which makes it challenging to estimate the material parameters of its nonlinear, anisotropic constitutive equation from in vivo image data. Previous approaches largely relied on either computationally expensive finite element models or simplifications of the geometry or material models. In this study, we investigated a new inverse method based on aortic wall stress computation. This approach consists of the following two steps: (1) computing an “almost true” stress field from the in vivo geometries and loading conditions, (2) building an objective function based on the “almost true” stress fields, constitutive equations and deformation relations, and estimating the material parameters by minimizing the objective function. The method was validated through numerical experiments by using the in vivo data from four ascending aortic aneurysm (AsAA) patients. The results demonstrated that the method is computationally efficient. This novel approach may facilitate the personalized biomechanical analysis of aortic tissues in clinical applications, such as in the rupture risk analysis of ascending aortic aneurysms.

Original languageEnglish (US)
Pages (from-to)148-158
Number of pages11
JournalJournal of the Mechanical Behavior of Biomedical Materials
StatePublished - Aug 1 2017
Externally publishedYes


  • Ascending aortic aneurysm
  • Constitutive parameter estimation
  • Finite element analysis
  • Statically determinate

ASJC Scopus subject areas

  • Biomaterials
  • Biomedical Engineering
  • Mechanics of Materials


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