Multi-modal data fusion for Cardiac Resynchronization Therapy planning and assistance

Area of Science:

• Cardiology
• Medical Imaging
• Biomedical Engineering

Background:

• Cardiac Resynchronization Therapy (CRT) is effective for heart failure with cardiac dyssynchrony.
• Optimal left ventricle (LV) pacing site selection can enhance CRT response.
• Pre-operative characterization of LV properties and venous access is crucial for CRT success.

Purpose of the Study:

• To develop a pre-operative analysis solution for identifying optimal LV pacing sites for CRT.
• To integrate multi-modal data registration and coronary venous access segmentation.
• To provide a novel visualization interface for real-time surgical guidance during CRT implantation.

Main Methods:

• Utilized previously developed multi-modal data registration techniques.
• Implemented a novel segmentation process for coronary venous access.
• Developed a new visualization interface for pre-operative planning and intra-operative guidance.

Main Results:

• Demonstrated a new pre-operative analysis solution for CRT.
• Successfully integrated multi-modal imaging data for LV property characterization.
• Validated the approach on real patient data, showcasing visualization of pacing sites and access routes.

Conclusions:

• The proposed pre-operative analysis and visualization tool can aid clinicians in selecting optimal LV pacing sites for CRT.
• This approach has the potential to improve CRT efficacy by enhancing pre- and per-operative decision-making.
• The integrated system offers valuable insights for personalized CRT implantation strategies.