Integrated whole-heart computational workflow for inverse potential mapping and personalized simulations.

Area of Science:

• Computational modeling
• Cardiac electrophysiology
• Medical imaging

Background:

• Existing whole-heart simulation models are too slow for clinical use.
• Fast and adaptable workflows are needed for electrophysiological procedure guidance.
• This study introduces a novel finite element model (FEM) based workflow.

Purpose of the Study:

• To develop a comprehensive FEM-based whole-heart computational workflow.
• To enable integration of inverse potential mapping (IPM) and simulations.
• To facilitate clinical translation for electrophysiological procedures.

Main Methods:

• Acquired body surface potential (BSP) data and cardiac MRI (CMR) from volunteers and patients.
• Segmented cardiac volumes from CMR and generated meshes with virtual tissue characteristics.
• Constructed isochronal activation maps and reconstructed IPMs from BSPs.

Main Results:

• Generated whole-heart computational meshes rapidly (within seconds).
• Identified key activation points and demonstrated ventricular epicardial breakthrough.
• Simulations accurately reflected sinus rhythm and conduction abnormalities (edema/scar).

Conclusions:

• The FEM workflow provides an integrated platform for cardiac electrical assessment.
• It allows for patient-specific parameters and accurate reconstruction of activation sequences.
• This approach enhances guidance and planning for electrophysiological procedures.