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Reduced left ventricular dynamics modeling based on a cylindrical assumption.

Martin Genet1,2, Jérôme Diaz1,2, Dominique Chapelle1,2

  • 1LMS, École Polytechnique/CNRS/Institut Polytechnique de Paris, Palaiseau, France.

International Journal for Numerical Methods in Biomedical Engineering
|May 19, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a computationally efficient reduced biomechanical model of the left ventricle. This model accurately captures ventricular mechanics, including myofiber orientation and twist, for improved medical simulations.

Keywords:
cardiac modelingcomputational mechanicscontinuum mechanics on manifoldreduced-order modeling

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Area of Science:

  • Biomedical Engineering
  • Computational Mechanics
  • Medical Device Development

Background:

  • Full-order biomechanical models of the heart are computationally intensive, limiting clinical applications.
  • Reduced models are essential for efficient simulations, pre-calibration, and real-time predictions in cardiac mechanics.

Purpose of the Study:

  • To develop a reduced biomechanical model of the left ventricle.
  • To create a model with reduced geometry and kinematics while retaining physical meaning for variables and parameters.
  • To enable accurate representation of myofiber orientation and ventricular twist.

Main Methods:

  • Developed a reduced ventricular model using cylindrical geometry and kinematics.
  • Incorporated a fully dynamical formulation integrated with an open-loop lumped circulation model.
  • Utilized a novel numerical approach with consistent spatial (finite element) and time discretizations.

Main Results:

  • The proposed model effectively describes myofiber orientation and contraction patterns like ventricular twist.
  • The model demonstrates physiological responses and sensitivity to various numerical and physical parameters.
  • The reformulated cylinder closure and novel numerical approach enhance model usability.

Conclusions:

  • The reduced biomechanical model offers a computationally efficient and physically meaningful representation of left ventricular mechanics.
  • This model facilitates faster predictions and real-time applications in cardiac biomechanics.
  • The developed model serves as a valuable tool for advancing next-generation medical technologies.