Simulation of cardiac pathologies using an electromechanical biventricular model and XMR interventional imaging

Area of Science:

• Biomedical Engineering
• Computational Biology
• Medical Imaging

Background:

• Simulating cardiac electromechanical activity aids in understanding heart pathologies and therapy planning.
• Developing accurate cardiac models is challenging due to limited clinical data.
• XMR systems offer rapid patient transfer between X-ray and MR imaging, enabling novel data acquisition.

Purpose of the Study:

• To design and validate a computationally fast electromechanical model of the myocardium.
• To utilize XMR imaging for model development and validation.
• To integrate patient-specific anatomy, electrophysiology, and motion into the cardiac model.

Main Methods:

• Development of a computationally efficient electromechanical cardiac model.
• Integration of anatomical, electrophysiological, and motion data from XMR imaging.
• Introduction of cardiac pathologies into the model for simulation.
• Comparison of simulation results with clinical measurements.

Main Results:

• The proposed electromechanical model is computationally fast and utilizes clinically observable parameters.
• Integration of patient-specific data (anatomy, electrophysiology, motion) was achieved.
• Initial qualitative comparisons on two clinical cases showed encouraging results.
• The model successfully incorporated simulated pathologies.

Conclusions:

• The developed electromechanical model shows potential for accurate cardiac simulation.
• XMR imaging provides valuable data for validating patient-specific cardiac models.
• Further validation is required, but the model could enable simulation of interventional strategies.