Computational Modeling Helps Tissue Engineered Heart Repair

ORAL

Abstract

Understanding the mechanical influence of scarred tissue is key to understand how ischemia affects the efficacy of the heart and consequently how supportive devices can help restoring the same. With medical images and nonlinear mechanics, we are developing a patient-specific heart model for tissue engineering. Employing the Holzapfel-Ogden rule we analyse how different types of infarcts impair the contractile function of the left ventricle using end diastolic and end systolic pressure volume relations as key markers. The patient specific tissue properties and hence model parameters play a crucial role on how much heart function will be compromised after an infarct, demanding an in-depth study of said parameter space, in order to develop patient-specific solutions. As such, we also investigate how engineered heart muscle tissue can restore healthy capacity targeting at clinical applications.

*This work was supported by the Max Planck Society and the German Center for Cardiovascular Research.

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Presenters

  • Moritz Kalhöfer-Köchling

    • Fluid Physics, Pattern Formation, and Biocomplexity, Max-Planck-Institute for Dynamics and Self-Organization

Authors

  • Moritz Kalhöfer-Köchling

    • Fluid Physics, Pattern Formation, and Biocomplexity, Max-Planck-Institute for Dynamics and Self-Organization

  • Martin Uecker

    • Universitätsmedizin Göttingen

  • Wolfram Zimmermann

    • Universitätsmedizin Göttingen
    • Institute for Pharmacology, University of Göttingen Medical School

  • Eberhard Bodenschatz

    • Fluid Physics, Pattern Formation, and Biocomplexity, Max-Planck-Institute for Dynamics and Self-Organization
    • Max Planck Institute for Dynamics and Self-Organization
    • Max-Planck Institute for Dynamics and Self-organization, Göttingen, Germany
    • Fluid Physics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

  • Yong Wang

    • Fluid Physics, Pattern Formation, and Biocomplexity, Max-Planck-Institute for Dynamics and Self-Organization
    • Fluid Physics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany