Neural network reconstruction of the left atrium using sparse catheter paths.

ABSTRACT:

Purpose

Catheter-based radiofrequency ablation for pulmonary vein isolation has become the first line of treatment for atrial fibrillation in recent years. This requires a rather accurate map of the left atrial sub-endocardial surface including the ostia of the pulmonary veins, which requires dense sampling of the surface and currently takes more than 10 min. The focus of this work is to provide left atrial visualization early in the procedure to ease procedure complexity and enable further workflows, such as using catheters that have difficulty sampling the surface.

Methods

We propose a dense encoder-decoder network with a novel regularization term to reconstruct the shape of the left atrium from partial data which is derived from simple catheter maneuvers. To train the net

SUBMITTER: Baram A 

PROVIDER: S-EPMC11807916 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature