Computational modeling and simulation of heart ventricular mechanics from tagged MRI

  • Authors:
  • Zhenhua Hu;Dimitris Metaxas;Leon Axel

  • Affiliations:
  • Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA;The Center of Computational Biomedical, Imaging and Modeling, Rutgers University, New Brunswick, NJ;Department of Radiology, New York University, New York City, NY

  • Venue:
  • FIMH'05 Proceedings of the Third international conference on Functional Imaging and Modeling of the Heart
  • Year:
  • 2005

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Abstract

Heart ventricular mechanics has been investigated intensively in the last four decades. The passive material properties, the ventricular geometry and muscular architecture, and the myocardial activation are among the most important determinants of cardiac mechanics. The heart muscle is anisotropic, inhomogeneous, and highly nonlinear. The heart ventricular geometry is irregular and object dependent. The muscular architecture includes the organization of the fiber and the connective tissues. Studies of the myocardial activation have been carried out at both cell and tissue levels. Previous work from our research group has successfully estimated the in-vivo motion and deformation of both the left and the right ventricles. In this paper, we present an iterative model to estimate the in-vivo myocardium material properties, the active forces generated along fiber orientation, and strain and stress distribution in both ventricles. Compared to the strain energy function approach, our model is more intuitively understandable. Using the model, we have simulated the mechanical events of a few different heart diseases. Noticeable strain and stress differences are found between normal and diseased hearts.