In situ parameter identification of optimal density-elastic modulus relationships in subject-specific finite element models of the proximal femur

Alexander Cong, Jorn Op Den Buijs, Dan Dragomir-Daescu

Research output: Contribution to journalArticle

39 Scopus citations

Abstract

Quantitative computed tomography based finite element analysis of the femur is currently being investigated as a method for non-invasive stiffness and strength predictions of the proximal femur. The specific objective of this study was to determine better conversion relationships from QCT-derived bone density to elastic modulus, in order to achieve accurate predictions of the overall femoral stiffness in a fall-on-the-hip loading configuration. Twenty-two femurs were scanned, segmented and meshed for finite element analysis. The elastic moduli of the elements were assigned according to the average density in the element. The femurs were then tested to fracture and force-displacement data were collected to calculate femoral stiffness. Using a training set of nine femurs, finite element analyses were performed and the parameters of the density-elastic modulus relationship were iteratively adjusted to obtain optimal stiffness predictions in a least-squares sense. The results were then validated on the remaining 13 femurs. Our novel procedure resulted in parameter identification of both power and sigmoid functions for density-elastic modulus conversion for this specific loading scenario. Our in situ estimated power law achieved improved predictions compared to published power laws, and the sigmoid function yielded even smaller prediction errors. In the future, these results will be used to further improve the femoral strength predictions of our finite element models.

Original languageEnglish (US)
Pages (from-to)164-173
Number of pages10
JournalMedical Engineering and Physics
Volume33
Issue number2
DOIs
StatePublished - Mar 1 2011

Keywords

  • Bone FEA
  • Bone mechanical properties
  • Optimization
  • Power law

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering

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