Paper
8 March 2013 Cryo-balloon catheter localization in fluoroscopic images
Tanja Kurzendorfer, Alexander Brost, Carolin Jakob, Philip W. Mewes, Felix Bourier, Martin Koch, Klaus Kurzidim, Joachim Hornegger, Norbert Strobel
Author Affiliations +
Abstract
Minimally invasive catheter ablation has become the preferred treatment option for atrial fibrillation. Although the standard ablation procedure involves ablation points set by radio-frequency catheters, cryo-balloon catheters have even been reported to be more advantageous in certain cases. As electro-anatomical mapping systems do not support cryo-balloon ablation procedures, X-ray guidance is needed. However, current methods to provide support for cryo-balloon catheters in fluoroscopically guided ablation procedures rely heavily on manual user interaction. To improve this, we propose a first method for automatic cryo-balloon catheter localization in fluoroscopic images based on a blob detection algorithm. Our method is evaluated on 24 clinical images from 17 patients. The method successfully detected the cryoballoon in 22 out of 24 images, yielding a success rate of 91.6 %. The successful localization achieved an accuracy of 1.00 mm ± 0.44 mm. Even though our methods currently fails in 8.4 % of the images available, it still offers a significant improvement over manual methods. Furthermore, detecting a landmark point along the cryo-balloon catheter can be a very important step for additional post-processing operations.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tanja Kurzendorfer, Alexander Brost, Carolin Jakob, Philip W. Mewes, Felix Bourier, Martin Koch, Klaus Kurzidim, Joachim Hornegger, and Norbert Strobel "Cryo-balloon catheter localization in fluoroscopic images", Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86710C (8 March 2013); https://doi.org/10.1117/12.2006543
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Blob detection

Atrial fibrillation

Collimators

Bismuth

Detection and tracking algorithms

Tissues

Veins

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