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A finite element model of myocardial infarction using a composite material approach

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  • Seyyed M. H. Haddad
  • Abbas Samani

Abstract

Computational models are effective tools to study cardiac mechanics under normal and pathological conditions. They can be used to gain insight into the physiology of the heart under these conditions while they are adaptable to computer assisted patient-specific clinical diagnosis and therapeutic procedures. Realistic cardiac mechanics models incorporate tissue active/passive response in conjunction with hyperelasticity and anisotropy. Conventional formulation of such models leads to mathematically-complex problems usually solved by custom-developed non-linear finite element (FE) codes. With a few exceptions, such codes are not available to the research community. This article describes a computational cardiac mechanics model developed such that it can be implemented using off-the-shelf FE solvers while tissue pathologies can be introduced in the model in a straight-forward manner. The model takes into account myocardial hyperelasticity, anisotropy, and active contraction forces. It follows a composite tissue modeling approach where the cardiac tissue is decomposed into two major parts: background and myofibers. The latter is modelled as rebars under initial stresses mimicking the contraction forces. The model was applied in silico to study the mechanics of infarcted left ventricle (LV) of a canine. End-systolic strain components, ejection fraction, and stress distribution attained using this LV model were compared quantitatively and qualitatively to corresponding data obtained from measurements as well as to other corresponding LV mechanics models. This comparison showed very good agreement.

Suggested Citation

  • Seyyed M. H. Haddad & Abbas Samani, 2018. "A finite element model of myocardial infarction using a composite material approach," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 21(1), pages 33-46, January.
  • Handle: RePEc:taf:gcmbxx:v:21:y:2018:i:1:p:33-46
    DOI: 10.1080/10255842.2017.1416355
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    1. Xingyu Zhang & Brett R Cowan & David A Bluemke & J Paul Finn & Carissa G Fonseca & Alan H Kadish & Daniel C Lee & Joao A C Lima & Avan Suinesiaputra & Alistair A Young & Pau Medrano-Gracia, 2014. "Atlas-Based Quantification of Cardiac Remodeling Due to Myocardial Infarction," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-13, October.
    2. Cristian A. Linte, 2008. "Towards a biomechanics-based technique for assessing myocardial contractility: an inverse problem approach," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 11(3), pages 243-255.
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