Name
Abstract | ||
|---|---|---|
Cardiac catheter ablation is a minimally invasive medical procedure to treat patients with heart rhythm disorders. It is useful to know the positions of the catheters and electrodes during the intervention, e.g. for the automatization of cardiac mapping. Our goal is therefore to develop a robust image analysis method that can detect the catheters in X-ray fluoroscopy images. Our method uses steerable tensor voting in combination with a catheter-specific multi-step extraction algorithm. The evaluation on clinical fluoroscopy images shows that especially the extraction of the catheter tip is successful and that the use of tensor voting accounts for a large increase in performance. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11866763_4 | MICCAI (2) |
Keywords | Field | DocType |
cardiac catheter ablation,heart rhythm disorder,steerable tensor voting,clinical fluoroscopy images shows,catheter-specific multi-step extraction algorithm,noisy fluoroscopy image,electrophysiology catheters,x-ray fluoroscopy image,cardiac mapping,robust image analysis method,tensor voting account,catheter tip,image analysis | Cardiac mapping,Catheter,Computer vision,Computer science,Extraction algorithm,Tensor voting,Heart rhythm disorders,Catheter ablation,Fluoroscopy,Artificial intelligence | Conference |
Volume | Issue | ISSN |
9 | Pt 2 | 0302-9743 |
ISBN | Citations | PageRank |
3-540-44727-X | 19 | 1.19 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erik Franken | 1 | 119 | 7.73 |
| Peter M. J. Rongen | 2 | 52 | 5.48 |
| Markus van Almsick | 3 | 56 | 4.80 |
| Bart ter Haar Romeny | 4 | 224 | 16.62 |