To efficiently map the left atrial (LA) endocardial surface using a portion of the catheter traversal path, thereby enhancing anatomical accuracy and significantly reducing mapping time in atrial fibrillation (AF) treatment.
Key Findings:
The DED network provides anatomically relevant outputs and outperforms baseline methods in terms of accuracy and efficiency.
Mapping time is significantly reduced while maintaining accuracy in identifying critical anatomical landmarks, with specific metrics to be detailed.
Interpretation:
The proposed method enhances the efficiency and safety of catheter ablation techniques for AF by providing early visualization of the LA surface, which aids in reducing procedural risks.
Limitations:
The method relies on the availability of patient data for training, which may limit its applicability in certain clinical settings.
Less common anatomical variations may require different models, potentially complicating the implementation.
Conclusion:
Optimizing mapping procedures and integrating anatomical imaging guidance can significantly improve clinical outcomes in AF treatment, particularly in reducing complications.
