Two-dimensional intraventricular flow pattern visualization using the image-based computational fluid dynamics.

Area of Science:

• Biomedical Engineering
• Cardiovascular Physiology
• Medical Imaging

Background:

• Accurate simulation of left ventricle (LV) hemodynamics is crucial for understanding cardiovascular diseases.
• Existing computational fluid dynamics (CFD) methods often require complex manual segmentation and modeling.
• Image-based CFD (IB-CFD) offers a promising approach by integrating medical imaging data.

Purpose of the Study:

• To propose a semi-automated IB-CFD technique for simulating patient-specific LV hemodynamics.
• To compare intraventricular vortex formation and propagation using two distinct valve models (orifice-type vs. integrated).
• To investigate the impact of different valve types on blood flow patterns within the LV.

Main Methods:

• Development of a semi-automated workflow using freely available and commercial software.
• Creation of two time-resolved 2D patient-specific LV models with different valve configurations.
• Application of the IB-CFD technique to simulate blood flow over the entire cardiac cycle.
• Visualization and comparison of intraventricular vortex dynamics between the two models.

Main Results:

• The IB-CFD technique was successfully implemented for LV hemodynamic simulation.
• Significant differences in intraventricular vortex formation and propagation were observed between the two valve models.
• The model with integrated valves demonstrated a more complex intraventricular flow pattern.

Conclusions:

• The proposed semi-automated IB-CFD technique provides a viable method for analyzing LV hemodynamics.
• Integrated valve models offer a more physiologically representative simulation of intraventricular blood flow compared to orifice-type models.
• This approach can enhance the understanding of how valve characteristics influence complex cardiac flow dynamics.