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Voltage-based device tracking in a 1.5 tesla MRI during imaging: initial validation in swine models

Purpose Voltage‐based device‐tracking (VDT) systems are commonly used for tracking invasive devices in electrophysiological cardiac‐arrhythmia therapy. During electrophysiological procedures, electro‐anatomic mapping workstations provide guidance by integrating VDT location and intracardiac electroc...

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Bibliographic Details
Published in:Magnetic resonance in medicine 2014-03, Vol.71 (3), p.1197-1209
Main Authors: Schmidt, Ehud J., Tse, Zion T. H., Reichlin, Tobias R., Michaud, Gregory F., Watkins, Ronald D., Butts-Pauly, Kim, Kwong, Raymond Y., Stevenson, William, Schweitzer, Jeffrey, Byrd, Israel, Dumoulin, Charles L.
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Language:English
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Summary:Purpose Voltage‐based device‐tracking (VDT) systems are commonly used for tracking invasive devices in electrophysiological cardiac‐arrhythmia therapy. During electrophysiological procedures, electro‐anatomic mapping workstations provide guidance by integrating VDT location and intracardiac electrocardiogram information with X‐ray, computerized tomography, ultrasound, and MR images. MR assists navigation, mapping, and radiofrequency ablation. Multimodality interventions require multiple patient transfers between an MRI and the X‐ray/ultrasound electrophysiological suite, increasing the likelihood of patient‐motion and image misregistration. An MRI‐compatible VDT system may increase efficiency, as there is currently no single method to track devices both inside and outside the MRI scanner. Methods An MRI‐compatible VDT system was constructed by modifying a commercial system. Hardware was added to reduce MRI gradient‐ramp and radiofrequency unblanking pulse interference. VDT patches and cables were modified to reduce heating. Five swine cardiac VDT electro‐anatomic mapping interventions were performed, navigating inside and thereafter outside the MRI. Results Three‐catheter VDT interventions were performed at >12 frames per second both inside and outside the MRI scanner with 32 ms sequences with
ISSN:0740-3194
1522-2594
DOI:10.1002/mrm.24742