In vivo estimation of elastic heterogeneity in an infarcted human heart

Gabriel Balaban*, Henrik Finsberg, Simon Funke, Trine F. Håland, Einar Hopp, Joakim Sundnes, Samuel Wall, Marie E. Rognes

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


In myocardial infarction, muscle tissue of the heart is damaged as a result of ceased or severely impaired blood flow. Survivors have an increased risk of further complications, possibly leading to heart failure. Material properties play an important role in determining post-infarction outcome. Due to spatial variation in scarring, material properties can be expected to vary throughout the tissue of a heart after an infarction. In this study we propose a data assimilation technique that can efficiently estimate heterogeneous elastic material properties in a personalized model of cardiac mechanics. The proposed data assimilation is tested on a clinical dataset consisting of regional left ventricular strains and in vivo pressures during atrial systole from a human with a myocardial infarction. Good matches to regional strains are obtained, and simulated equi-biaxial tests are carried out to demonstrate regional heterogeneities in stress–strain relationships. A synthetic data test shows a good match of estimated versus ground truth material parameter fields in the presence of no to low levels of noise. This study is the first to apply adjoint-based data assimilation to the important problem of estimating cardiac elastic heterogeneities in 3-D from medical images.

Original languageEnglish
Pages (from-to)1317-1329
Number of pages13
JournalBiomechanics and Modeling in Mechanobiology
Issue number5
Publication statusPublished - 1 Oct 2018


  • Adjoint method
  • Cardiac mechanics
  • Data assimilation
  • Elastography
  • Myocardial infarction


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