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In vivo estimation of passive biomechanical properties of human myocardium

  • Arnab Palit
  • , Sunil K. Bhudia
  • , Theodoros N. Arvanitis
  • , Glen Turley
  • , Mark A Williams
  • University of Warwick
  • University Hospitals Coventry and Warwickshire NHS Trust

Research output: Contribution to journalArticlepeer-review

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Abstract

Identification of in vivo passive biomechanical properties of healthy human myocardium from regular clinical data isessential for subject-specific modelling of left ventricle (LV). In this work, myocardium was defined by HolzapfelOgden constitutive law. Therefore, the objectives of the study were (a) to estimate the ranges of the constitutiveparameters for healthy human myocardium using non-invasive routine clinical data, and (b) to investigate the effectof geometry, LV end-diastolic pressure (EDP) and fibre orientations on estimated values. In order to avoid invasivemeasurements and additional scans, LV cavity volume, measured from routine MRI, and empirical pressure-normalisedvolume relation (Klotz-curve) were used as clinical data. Finite element modelling, response surface method and geneticalgorithm were used to inversely estimate the constitutive parameters. Due to the ill-posed nature of the inverse optimisation problem, the myocardial properties was extracted by identifying the ranges of the parameters, instead of findingunique values. Additional sensitivity studies were carried out to identify the effect of LV EDP, fibre orientation andgeometry on estimated parameters. Although uniqueness of the solution cannot be achieved, the normal ranges of theparameters produced similar mechanical responses within the physiological ranges. These information could be used infuture computational studies for designing heart failure treatments.
Original languageEnglish
Pages (from-to)1615-1631
Number of pages16
JournalMedical and Biological Engineering and Computing
Volume56
DOIs
Publication statusPublished - 26 Feb 2018
Externally publishedYes

Bibliographical note

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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

  • Ventricular diastolic mechanics
  • Finite element
  • Parameter estimation
  • Normal human subjects
  • Ventricular geometry
  • Fibre structure

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