Image-based modeling of acute myocardial ischemia using experimentally derived ischemic zone source representations.

Area of Science:

• Computational biology
• Cardiac electrophysiology
• Medical imaging

Background:

• Computational models of myocardial ischemia commonly use simplified representations of ischemic regions.
• This simplification limits the accuracy of simulated epicardial potentials.

Purpose of the Study:

• To investigate the impact of biophysically accurate, subject-specific ischemic zone representations on epicardial potentials.
• To enhance the realism of computational models for myocardial ischemia.

Main Methods:

• Developed an image-based simulation pipeline utilizing intramural recordings from a canine model.
• Defined subject-specific ischemic regions within the heart based on experimental data.
• Simulated static epicardial potential distributions reflecting ST segment deviations and validated against measurements.

Main Results:

• Simulated epicardial potential distributions demonstrated strong statistical correlation and visual agreement with measured potentials.
• Identified specific influences of border zone parameters on epicardial potential distributions during the ST segment.

Conclusions:

• Generated subject-specific ischemic sources from image-based simulations that accurately replicate epicardial potential distributions.
• These models are crucial for understanding bioelectric field mechanisms in ischemia.
• Provides a foundation for advanced simulations of body surface electrocardiograms (ECGs).