Myocardial segment-specific model generation for simulating the electrical action of the heart

Area of Science:

• Computational Biology
• Cardiac Electrophysiology
• Biomedical Engineering

Background:

• Realistic cardiac models require detailed microstructural data.
• Existing databases of cardiac structures are limited.
• Accurate anatomical data is essential for computational heart models.

Purpose of the Study:

• To create the largest database of porcine left ventricular microstructural architecture.
• To provide data for electrical and mechanical cardiac simulations.
• To improve the geometric realism of computational cardiac models.

Main Methods:

• Cryosectioning of porcine left ventricular tissue.
• Automated analysis of myofiber and myosheet orientations using gradient intensity algorithms.
• Reconstruction of 3D microstructural architecture from 2D sections.

Main Results:

• Detailed myofiber rotation (141 +/- 18 degrees) from epicardium to endocardium.
• Observed abrupt reversal in myosheet angles in the inner ventricular wall.
• Demonstrated distinct electrical responses in simulations using different tissue architectures.

Conclusions:

• This work significantly expands the available geometries for cardiac function models.
• The database facilitates more accurate and diverse computational simulations.
• Highlights the importance of microstructural variability in cardiac modeling.