Respiratory motion compensation by model-based catheter tracking during EP procedures.

Area of Science:

• Medical Imaging
• Interventional Cardiology
• Biomedical Engineering

Background:

• Radio-frequency catheter ablation for pulmonary veins often uses fluoroscopic guidance.
• Overlaying pre-operative 3D data onto 2D X-ray improves anatomical visualization.
• Respiratory motion degrades the accuracy of static overlay images during catheter navigation.

Purpose of the Study:

• To develop and evaluate a novel image-based 3D motion estimation and compensation method.
• To address the challenge of respiratory motion impairing catheter navigation in image-guided ablation.

Main Methods:

• A novel approach for 3D motion estimation and compensation using 3D catheter tracking.
• Utilized 2D/3D registration with a bi-plane C-arm system to image a mapping catheter from two directions.
• Reconstructed a 3D catheter model and estimated respiratory motion by tracking this model in 3D using bi-plane fluoroscopy.

Main Results:

• Phantom experiments showed average 2D tracking error of 1.4mm and 3D tracking error of 1.1mm.
• Clinical data evaluation (469 bi-plane frames) yielded average 2D tracking error of 1.0 ± 0.4mm and 3D tracking error of 0.8 ± 0.5mm.
• Demonstrated feasibility and accuracy of model-based motion compensation.

Conclusions:

• Model-based motion compensation using 2D/3D registration is a feasible and accurate solution for respiratory motion during catheter ablation.
• This technique enhances the utility of overlay images for precise catheter navigation.
• Improves safety and efficacy of image-guided interventional procedures.