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Myocardial Contractility and Regional Work throughout the Cardiac Cycle Using FEM and MRI

  • Conference paper
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (STACOM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7085))

Abstract

The role of myocardial contractile force in the progression of cardiovascular diseases such as heart failure (HF) has been the focus of many studies. In order to better understand the mechanisms underlying compromised contractility, finite element (FE) modelling of ventricular mechanics is a useful tool. Distributions of active fibre stress during systole were estimated using left ventricular (LV) FE models that incorporated in vivo MRI tagging data and concurrent LV endocardial pressure recordings to parameterise a time-varying model of myocardial contraction. For five canine hearts, the calcium dependent contractile stress increased to peaks ranging from 33 kPa to 57 kPa during systole. Regional distributions of fibre stretch, stress, and myocardial work were examined in each case. Using this type of integrative biophysical modelling to compare normal and pathological cases will elucidate the underlying physiological mechanisms of cardiac mechanical dysfunction.

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Author information

Authors and Affiliations

  1. Auckland Bioengineering Institute, University of Auckland, New Zealand

    Vicky Y. Wang, Alistair A. Young & Martyn P. Nash

  2. Department of Radiological Sciences Diagnostic Cardiovascular Imaging, UCLA, USA

    Daniel B. Ennis

  3. Centre for Advanced MRI, University of Auckland, New Zealand

    Brett R. Cowan & Alistair A. Young

  4. Department of Engineering Science, University of Auckland, New Zealand

    Martyn P. Nash

Authors
  1. Vicky Y. Wang
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  2. Daniel B. Ennis
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  3. Brett R. Cowan
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  4. Alistair A. Young
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  5. Martyn P. Nash
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Technologies, University of Pompeu Fabra, Center for ComputationalImaging and Simulation Technologies in Biomedicine (CISTIB), Plaça de la Mercè 10-12, 08002, Barcelona, Spain

    Oscar Camara

  2. Machine Learning and Perception, Microsoft Research, 7 J J Thomson Avenue, CB3 0FB, Cambridge, UK

    Ender Konukoglu

  3. Department of Medical Biophysics, Ontario Cancer Institute, princess Margaret Hospital, University of Toronto, Faculty of Medicien, 610 University Avenue, M5G 2M9, Toronto, ON, Canada

    Mihaela Pop

  4. Division of Imaging Sciences, King’s College London, St. Thomas Hospital, Lambeth Wing, SE1 7EH, London, UK

    Kawal Rhode

  5. Research Centre, Ascöepios Team, Inria Sophia Antipolis- Méditerranée, 2004 Route des Lucioles, BP 93, 06902, Sophia Antipolis Cedex, France

    Maxime Sermesant

  6. Auckland Bioengineering Institute, Medical and Health Sciences, University of Auckland, Grafton Campus, Building 502, Auckland, New Zealand

    Alistair Young

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© 2012 Springer-Verlag Berlin Heidelberg

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Wang, V.Y., Ennis, D.B., Cowan, B.R., Young, A.A., Nash, M.P. (2012). Myocardial Contractility and Regional Work throughout the Cardiac Cycle Using FEM and MRI. In: Camara, O., Konukoglu, E., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2011. Lecture Notes in Computer Science, vol 7085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28326-0_15

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  • DOI: https://doi.org/10.1007/978-3-642-28326-0_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28325-3

  • Online ISBN: 978-3-642-28326-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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