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Registration of CT Segmented Surfaces and 3-D Cardiac Electroanatomical Maps

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Medical Imaging and Augmented Reality (MIAR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6326))

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Abstract

To improve the intra-operative image fusion performance in the ablation procedure of atrial fibrillation (AF) treatment, this paper presents a novel registration method for CT segmented surfaces and three-dimensional (3-D) cardiac electroanatomical maps. Random perturbation is introduced to deform the electroanatomical maps in the registration process. The magnitude of deformation automatically attenuates during iterations. Compared to the typical iterative closest point (ICP) algorithm that often converges to local minima, the proposed algorithm is much less sensitive to the initial transformation and able to move out of the local minima and converge to a solution with smaller registration error. Through experiments using both in vivo and simulation data, the results show significant improvements on the registration accuracy and success rate over the existing method being used in the clinical environment. The improved intra-operative registration results can help physicians easily navigate the catheter during the AF interventional procedures.

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Author information

Authors and Affiliations

  1. Biomedical Engineering, University of Shanghai for Science and Technology, 516 Jungong Road, Shanghai, 200093, China

    Jingjing Gong

  2. MicroPort Medical (Shanghai) Co. Ltd., Shanghai, 201203, China

    Yiyong Sun & Zhaohua Chang

Authors
  1. Jingjing Gong
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  2. Yiyong Sun
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  3. Zhaohua Chang
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Editor information

Editors and Affiliations

  1. Department of Bioengineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo, 113-8656, Tokyo, Japan

    Hongen Liao

  2. Department of Surgery and Cancer, Imperial College London, South Kensington Campus, SW7 2AZ, London, UK

    P. J. "Eddie" Edwards

  3. Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, 60637, Chicago, IL, USA

    Xiaochuan Pan

  4. Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, 100080, Beijing, China

    Yong Fan

  5. Institute of Biomedical Engineering, Imperial College London, 180 Queens Gate, SW7 2BZ, London, UK

    Guang-Zhong Yang

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Gong, J., Sun, Y., Chang, Z. (2010). Registration of CT Segmented Surfaces and 3-D Cardiac Electroanatomical Maps. In: Liao, H., Edwards, P.J."., Pan, X., Fan, Y., Yang, GZ. (eds) Medical Imaging and Augmented Reality. MIAR 2010. Lecture Notes in Computer Science, vol 6326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15699-1_8

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  • DOI: https://doi.org/10.1007/978-3-642-15699-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15698-4

  • Online ISBN: 978-3-642-15699-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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