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Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block

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Book cover Clinical Image-Based Procedures. Translational Research in Medical Imaging (CLIP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8680))

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Abstract

Bundle Branch Block (BBB) is a heart disease which is usually diagnosed by the analysis of the ECG morphology and the duration of its QRS complex. Although body surface potential mapping (BSPM) provides more information than 12-lead ECG and is noninvasive, it is still not a visually direct method like in 3D heart model. In this paper we aim to propose a system in which the 3D transmembrane potential is estimated and visualized in the 3D heart model to improve the diagnosis of BBB. Using patient CT and BSPM data, the system is able to reconstruct details of the complete electrical activity of BBB on the 3D heart model. With the quantitative analysis proposed, BBB patterns can be more easily distinguished in 3D model than by visual inspection of the standard ECG and BSPM, therefore enhancing BBB diagnosis for the physicians.

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Acknowledgement

This work was supported by National Natural Science Foundation of China (Grant No. 61301010), the Natural Science Foundation of Fujian Province (Grant No. 2014J05080), Research Fund for the Doctoral Program of Higher Education (20130121120045) and by the Fundamental Research Funds for the Central Universities (Grant No. 2013SH005).

Author information

Authors and Affiliations

  1. Department of Computer Science, School of Information Science and Engineering, Xiamen University, Xiamen, China

    Liansheng Wang, Yiping Chen & Huangjing Lin

  2. Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, 518060, China

    Liansheng Wang & Dong Ni

  3. College of Electronic Science and Engineering, National University of Defense Technology, Changsha, China

    Yiping Chen

Authors
  1. Liansheng Wang
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  2. Yiping Chen
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  3. Huangjing Lin
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  4. Dong Ni
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Corresponding author

Correspondence to Liansheng Wang .

Editor information

Editors and Affiliations

  1. Children’s National Health System, Washington, District of Columbia, USA

    Marius George Linguraru

  2. Fraunhofer IGD, Darmstadt, Germany

    Cristina Oyarzun Laura

  3. Children’s National Health System, Washington, District of Columbia, USA

    Raj Shekhar

  4. Fraunhofer IGD, Darmstadt, Germany

    Stefan Wesarg

  5. ICREA - Universitat Pompeu Fabra, Barcelona, Spain

    Miguel Ángel González Ballester

  6. Fraunhofer IGD, Darmstadt, Germany

    Klaus Drechsler

  7. Nara Institute of Science and Technology (NAIST), Ikoma, Nara, Japan

    Yoshinobu Sato

  8. Fraunhofer IDM@NTU, Singapore, Singapore

    Marius Erdt

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© 2014 Springer International Publishing Switzerland

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Wang, L., Chen, Y., Lin, H., Ni, D. (2014). Noninvasive Electrocardiographic Imaging of Cardiac Arrhythmias: Enhance the Diagnosis of Bundle Branch Block. In: Linguraru, M., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2014. Lecture Notes in Computer Science(), vol 8680. Springer, Cham. https://doi.org/10.1007/978-3-319-13909-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-13909-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13908-1

  • Online ISBN: 978-3-319-13909-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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