Computer Science – Computer Vision and Pattern Recognition
Scientific paper
2009-10-09
P. Fallavollita, " 3D/2D Registration of Mapping Catheter Images for Arrhythmia Interventional Assistance", International Jour
Computer Science
Computer Vision and Pattern Recognition
International Journal of Computer Science Issues, IJCSI, Volume 4, Issue 2, pp10-19, September 2009
Scientific paper
Radiofrequency (RF) catheter ablation has transformed treatment for tachyarrhythmias and has become first-line therapy for some tachycardias. The precise localization of the arrhythmogenic site and the positioning of the RF catheter over that site are problematic: they can impair the efficiency of the procedure and are time consuming (several hours). Electroanatomic mapping technologies are available that enable the display of the cardiac chambers and the relative position of ablation lesions. However, these are expensive and use custom-made catheters. The proposed methodology makes use of standard catheters and inexpensive technology in order to create a 3D volume of the heart chamber affected by the arrhythmia. Further, we propose a novel method that uses a priori 3D information of the mapping catheter in order to estimate the 3D locations of multiple electrodes across single view C-arm images. The monoplane algorithm is tested for feasibility on computer simulations and initial canine data.
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