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Parameter estimation in a Holzapfel–Ogden law for healthy myocardium

  • H. Gao
  • , W. G. Li
  • , L. Cai
  • , C. Berry
  • , X. Y. Luo
  • University of Glasgow

Research output: Contribution to journalArticlepeer-review

98 Scopus citations

Abstract

A central problem in biomechanical studies of personalized human left ventricular (LV) modelling is to estimate material properties from in vivo clinical measurements. In this work we evaluate the passive myocardial mechanical properties inversely from the in vivo LV chamber pressure–volume and strain data. The LV myocardium is described using a structure-based orthotropic Holzapfel–Ogden constitutive law with eight parameters. In the first part of the paper we demonstrate how to use a multi-step non-linear least-squares optimization procedure to inversely estimate the parameters from the pressure–volume and strain data obtained from a synthetic LV model in diastole. In the second part, we show that to apply this procedure to clinical situations with limited in vivo data, additional constraints are required in the optimization procedure. Our study, based on three different healthy volunteers, demonstrates that the parameters of the Holzapfel–Ogden law could be extracted from pressure–volume and strain data with a suitable multi-step optimization procedure. Although the uniqueness of the solution cannot be addressed using our approaches, the material response is shown to be robustly determined.

Original languageEnglish
Pages (from-to)231-248
Number of pages18
JournalJournal of Engineering Mathematics
Volume95
Issue number1
DOIs
StatePublished - 1 Dec 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Holzapfel–Ogden law
  • Inverse problem
  • Left ventricular
  • Parameter estimation
  • Passive myocardial properties

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