Multiphysics Computational Modelling of the Cardiac Ventricles.

Area of Science:

• Biomedical Engineering
• Computational Biology
• Cardiovascular Research

Background:

• Cardiac multiphysics models have evolved significantly, with integrated simulations becoming prevalent.
• These models combine multiple physics interactions to represent complex cardiac function.

Purpose of the Study:

• To review progress in cardiac multiphysics modeling.
• To focus on integrating ventricular structures, electrophysiology, mechanics, hemodynamics, and circulation.
• To compare coupling approaches and discuss patient-specific implementations.

Main Methods:

• Review of existing literature on cardiac multiphysics models.
• Analysis of different approaches for integrating various cardiac physics.
• Discussion of coupling strategies, advantages, and disadvantages.
• Highlighting patient-specific modeling techniques.

Main Results:

• Significant progress in integrating multiple physics for cardiac simulation.
• Various coupling approaches exist with distinct pros and cons.
• Patient-specific implementations are increasingly utilized.

Conclusions:

• Cardiac multiphysics modeling offers powerful tools for understanding heart function.
• Further improvements in patient-specific models and coupling strategies are anticipated.
• This field holds promise for advancing cardiovascular research and clinical applications.