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Model-Based Registration for Motion Compensation during EP Ablation Procedures

  • Conference paper
Biomedical Image Registration (WBIR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6204))

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Abstract

Radio-frequency catheter ablation (RFCA) has become an accepted treatment option for atrial fibrillation (Afib). RFCA of Afib involves isolation of the pulmonary veins under X-ray guidance. For easier navigation, two-dimensional X-ray imaging may take advantage of overlay images derived from static pre-operative 3-D data set to add anatomical details which, otherwise, would not be visible under X-ray. Unfortunately, respiratory and cardiac motion may impair the utility of static overlay images for catheter navigation. We developed a system for image-based 2-D motion estimation and compensation as a solution to this problem. It is based on 2-D catheter tracking facilitated by model-based registration of an ellipse-shaped model to fluorosocpic images. A mono-plane or a bi-plane X-ray C-arm system can be used. In the first step of the method, a 2-D model of the catheter device is computed. Respiratory and cardiac motion at the site of ablation is then estimated by tracking the catheter device in fluoroscopic images. The cost function of the registration step is based on the average distance of the model to the segmented circumferential mapping catheter using a distance map. In our experiments, the circumferential catheter was successfully tracked in 688 fluoroscopic images with an average 2-D tracking error of 0.59 mm ± 0.25 mm. Our presented method achieves a tracking rate of 10 frames-per-second.

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Author information

Authors and Affiliations

  1. Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany

    Alexander Brost & Joachim Hornegger

  2. Siemens Corporate Research, Imaging and Visualization, Princeton, NJ, USA

    Rui Liao

  3. Siemens AG, Forchheim, Germany

    Norbert Strobel

Authors
  1. Alexander Brost
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  2. Rui Liao
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  3. Joachim Hornegger
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  4. Norbert Strobel
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Image Computing, University of Lübeck, Wallstr. 40, 23560, Lübeck, Germany

    Bernd Fischer

  2. Department of Electrical Engineering and Computer Science, Vanderbilt University, VU Station B 351662, 37240-1662, Nashville, TN, USA

    Benoît M. Dawant

  3. Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Röntgenstr. 24-26, 22335, Hamburg, Germany

    Cristian Lorenz

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Brost, A., Liao, R., Hornegger, J., Strobel, N. (2010). Model-Based Registration for Motion Compensation during EP Ablation Procedures. In: Fischer, B., Dawant, B.M., Lorenz, C. (eds) Biomedical Image Registration. WBIR 2010. Lecture Notes in Computer Science, vol 6204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14366-3_21

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  • DOI: https://doi.org/10.1007/978-3-642-14366-3_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14365-6

  • Online ISBN: 978-3-642-14366-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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