3D ablation catheter localisation using individual C-arm x-ray projections.

Area of Science:

• Medical Imaging
• Electrophysiology
• Computer-Aided Surgery

Background:

• Cardiac ablation procedures rely on C-arm X-ray guidance for catheter navigation.
• Complex anatomies, such as the left atrium, necessitate advanced navigation aids.
• Current methods include 3D road maps and external tracking systems.

Purpose of the Study:

• To develop a fully automatic method for calculating the 3D location of ablation catheters from 2D X-ray projections.
• To offer an alternative to external tracking systems for improved catheter navigation.
• To enable precise 3D localization of various cardiac ablation catheters.

Main Methods:

• Registration of a deformable 3D attenuation model of the catheter to 2D X-ray projections.
• Utilizing divergent beam projection and 2D catheter tip detection via image filtering and template matching.
• Adapting the 3D model using C-arm geometry and 2D similarity measures for accurate 2D/3D registration.
• Automatic extraction of the 3D attenuation model from 3D cone beam CT reconstructions.

Main Results:

• Achieved an average 3D registration accuracy of 3.8 mm for the catheter tip in a virtual ablation simulation.
• Demonstrated an average 3D accuracy of 4.5 mm using measured C-arm fluoroscopy projections in an RSD phantom.
• Validated the method across four different types of ablation catheters.

Conclusions:

• The presented automatic method accurately determines the 3D catheter location from 2D X-ray projections.
• This technique offers a viable alternative to external tracking, potentially enhancing catheter navigation in cardiac interventions.
• The approach is adaptable to various ablation catheters, showing promise for clinical application.