Name
Title | ||
|---|---|---|
Robust tracking of a virtual electrode on a coronary sinus catheter for atrial fibrillation ablation procedures |
Abstract | ||
|---|---|---|
Catheter tracking in X-ray fluoroscopic images has become more important in interventional applications for atrial fibrillation (AF) ablation procedures. It provides real-time guidance for the physicians and can be used as reference for motion compensation applications. In this paper, we propose a novel approach to track a virtual electrode (VE), which is a non-existing electrode on the coronary sinus (CS) catheter at a more proximal location than any real electrodes. Successful tracking of the VE can provide more accurate motion information than tracking of real electrodes. To achieve VE tracking, we first model the CS catheter as a set of electrodes which are detected by our previously published learning-based approach.(1) The tracked electrodes are then used to generate the hypotheses for tracking the VE. Model-based hypotheses are fused and evaluated by a Bayesian framework. Evaluation has been conducted on a database of clinical AF ablation data including challenging scenarios such as low signal-to-noise ratio (SNR), occlusion and non-rigid deformation. Our approach obtains 0.54mm median error and 90% of evaluated data have errors less than 1.67mm. The speed of our tracking algorithm reaches 6 frames-per-second on most data. Our study on motion compensation shows that using the VE as reference provides a good point to detect non-physiological catheter motion during the AF ablation procedures.(2) |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1117/12.911079 | Proceedings of SPIE |
Keywords | Field | DocType |
virtual electrode,catheter tracking,coronary sinus catheter,learning-based approach,atrial fibrillation ablation procedure,X-ray,fluoroscopic images | Atrial fibrillation,Catheter,Computer vision,Occlusion,Motion compensation,Signal-to-noise ratio,Ablation,Artificial intelligence,Coronary sinus,Physics | Conference |
Volume | ISSN | Citations |
8316 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen Wu | 1 | 517 | 47.40 |
| Terrence Chen | 2 | 413 | 33.69 |
| Norbert Strobel | 3 | 136 | 23.42 |
| Dorin Comaniciu | 4 | 8389 | 601.83 |