
Proceedings Paper
Robust tracking of a virtual electrode on a coronary sinus catheter for atrial fibrillation ablation proceduresFormat | Member Price | Non-Member Price |
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Paper 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 nonrigid
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
Paper Details
Date Published: 17 February 2012
PDF: 8 pages
Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 83162U (17 February 2012); doi: 10.1117/12.911079
Published in SPIE Proceedings Vol. 8316:
Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling
David R. Holmes III; Kenneth H. Wong, Editor(s)
PDF: 8 pages
Proc. SPIE 8316, Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling, 83162U (17 February 2012); doi: 10.1117/12.911079
Show Author Affiliations
Wen Wu, Siemens Corporate Research (United States)
Terrence Chen, Siemens Corporate Research (United States)
Terrence Chen, Siemens Corporate Research (United States)
Published in SPIE Proceedings Vol. 8316:
Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling
David R. Holmes III; Kenneth H. Wong, Editor(s)
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