Review on CFD simulation in heart with dilated cardiomyopathy and myocardial infarction

Area of Science:

• Cardiovascular Physiology
• Biomedical Engineering
• Medical Imaging Analysis

Background:

• Cardiac hemodynamics are critical indicators of heart health.
• Current cardiac imaging methods have limitations in assessing detailed flow dynamics.
• Computational Fluid Dynamics (CFD) offers advanced insights into cardiac function.

Purpose of the Study:

• To investigate ventricular hemodynamics in common myocardial diseases.
• To assess pathological severities using CFD.
• To explore the application of CFD in diagnosing dilated cardiomyopathy (DCM) and myocardial infarction (MI).

Main Methods:

• Utilized CFD for detailed cardiac flow field analysis.
• Employed a prescribed geometry and fluid-structure interaction (FSI) approach.
• Investigated hemodynamics during the filling phase and the entire cardiac cycle.

Main Results:

• CFD analysis provided detailed insights into ventricular hemodynamics for DCM and MI.
• The study demonstrated the capability of CFD to differentiate hemodynamic patterns associated with these diseases.
• Hemodynamic parameters were analyzed throughout the cardiac cycle and specific phases.

Conclusions:

• CFD is a valuable tool for early-stage identification of cardiac diseases like DCM and MI.
• Findings can facilitate the improvement of cardiac assisting devices.
• The study supports the use of CFD in refining therapeutic procedures for heart conditions.