Integration of the data from electroanatomical mapping system and CT imaging modality

Area of Science:

• Cardiovascular Electrophysiology
• Medical Imaging
• Computational Anatomy

Background:

• Current heart mapping systems struggle to accurately reconstruct complex cardiac geometries.
• This limitation hinders the precise representation of electrophysiological parameters in intricate heart regions.

Purpose of the Study:

• To introduce a new method for representing electrophysiological parameters by integrating classical mapping data with CT-derived cardiac geometry.
• To overcome limitations in mapping complex cardiac anatomies.

Main Methods:

• Integration of CARTO electrophysiological maps (activation and bipolar viability) with left atrial geometry reconstructed from computed tomography (CT) images.
• Registration of mapping data to CT geometry with a measured error of 2.52 +/- 0.25 mm.
• Reconstruction of bipolar viability and activation maps on the CT-based geometry.

Main Results:

• Successful integration of electrophysiological data with CT-derived cardiac geometry in all seven patients.
• Accurate registration of data points, demonstrating the feasibility of the method.
• Creation of electrophysiological maps on anatomically complex structures without requiring detailed manual mapping.

Conclusions:

• The proposed integration method enhances the spatial representation of electrophysiological parameters in the heart.
• This technique facilitates mapping in anatomically complex regions, improving procedural planning for conditions like atrial fibrillation.
• The method offers a more comprehensive understanding of cardiac electrical activity within intricate anatomical contexts.