1. **Impact on Electrophysiology**: The orientation and arrangement of
myocardial fibers play a significant role in the propagation of electrical
signals within the heart. By accurately representing the fiber architecture,
electromechanical models can better simulate the initiation and propagation of
action potentials, which are essential for coordinating the heart's
contraction.
2. **Influence on Contraction**: The alignment of cardiac muscle
fibers determines the direction in which the heart contracts during systole. By
incorporating realistic fiber orientations, electromechanical models can
accurately predict the mechanical behavior of the heart, including the
generation of contractile forces and the resulting changes in chamber volumes.
3. **Effect on Mechanical Function**: The architecture of myocardial
fibers directly influences the mechanical properties of the heart, such as its
stiffness, compliance, and contractile efficiency. By capturing the intricate
fiber architecture, simulations can provide insights into how changes in fiber
orientation impact the overall pumping function of the heart.
4. **Patient-Specific Modeling**: Reconstructing individualized fiber
architectures based on patient-specific imaging data allows for personalized
simulations that account for variations in cardiac structure and function. This
personalized approach can help in predicting patient-specific responses to
therapies or interventions.
5. **Research and Clinical Applications**: Accurate representation of muscular
fiber architecture in electromechanical models is essential for advancing our
understanding of cardiac physiology, pathophysiology, and treatment strategies.
By simulating the complex interplay between electrical activation and
mechanical contraction in the heart, researchers and clinicians can gain
valuable insights into cardiac diseases, optimize treatment approaches, and
improve patient outcomes.
In summary, reconstructing the muscular fiber
architecture is fundamental for enhancing the fidelity and predictive
capabilities of cardiac electromechanical simulations, enabling a deeper
understanding of the intricate mechanisms underlying heart function and
dysfunction.
Piersanti, R., Regazzoni, F.,
Salvador, M., Corno, A. F., Dede', L., Vergara, C., & Quarteroni, A.
(2021). 3D-0D closed-loop model for the simulation of cardiac biventricular
electromechanics. *arXiv preprint arXiv:2108.01907*.
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