Analysis of passive cardiac constitutive laws for parameter estimation using 3D tagged MRI

Myrianthi Hadjicharalambous, Radomir Chabiniok, Liya Asner, Eva Sammut, James Wong, Gerald Carr-White, Jack Lee, Reza Razavi, Nicolas Smith, David Nordsletten

Research output: Contribution to journalArticle (Academic Journal)peer-review

44 Citations (Scopus)


An unresolved issue in patient-specific models of cardiac mechanics is the choice of an appropriate constitutive law, able to accurately capture the passive behavior of the myocardium, while still having uniquely identifiable parameters tunable from available clinical data. In this paper, we aim to facilitate this choice by examining the practical identifiability and model fidelity of constitutive laws often used in cardiac mechanics. Our analysis focuses on the use of novel 3D tagged MRI, providing detailed displacement information in three dimensions. The practical identifiability of each law is examined by generating synthetic 3D tags from in silico simulations, allowing mapping of the objective function landscape over parameter space and comparison of minimizing parameter values with original ground truth values. Model fidelity was tested by comparing these laws with the more complex transversely isotropic Guccione law, by characterizing their passive end-diastolic pressure-volume relation behavior, as well as by considering the in vivo case of a healthy volunteer. These results show that a reduced form of the Holzapfel-Ogden law provides the best balance between identifiability and model fidelity across the tests considered.

Original languageEnglish
Pages (from-to)807-28
Number of pages22
JournalBiomechanics and Modeling in Mechanobiology
Issue number4
Publication statusPublished - Aug 2015


  • Adult
  • Diastole
  • Heart/physiology
  • Humans
  • Imaging, Three-Dimensional
  • Magnetic Resonance Imaging
  • Male
  • Models, Cardiovascular
  • Pressure


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