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Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm

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Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy (MBIA 2019, MFCA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11846))

Abstract

Axonal fibers in the white matter are in charge of bio-signal delivery and relate information between neurons within the nervous system and between neurons and peripheral target tissues. Tract-based analysis (TBA) can directly bridge white matter and its connected cerebral cortex to achieve a joint analysis of the brain’s structure and function. However, the accuracy of TBA is highly dependent on the quality of spatial registration of fiber bundles of different individuals to the standard space. In this paper, a non-rigid point registration, Coherent Point Drift (CPD), is applied for registration of fiber bundles. Both the fiber features and the registration accuracy are evaluated to determine the correspondence among fiber bundles. Experiment results on twelve real data showed higher registration accuracy of the proposed method on mean nearest neighbor distance and fractional anisotropy (FA) profiles than traditional registration methods, such as affine, elastic and Iterative Closest Point (ICP).

Wenjuan Wang and Jin Liu contributed equally to this work.

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Acknowledgements

This work was supported by the National Key R&D Program of China (2017YFB1300204), Hefei Foreign Cooperation Project (ZR201801020002), Director’s Fund of Hefei Cancer Hospital of CAS (YZJJ2019C14, YZJJ2019A04), the Key R&D Program of Anhui Province (201904a07020104), the Natural Science Fund of Anhui Province (1708085MF141), as well as John S Dunn Research Foundation and TT and WF Chao Foundation (STCW).

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Authors and Affiliations

  1. University of Science and Technology of China, Hefei, 230027, China

    Wenjuan Wang, Jin Liu & Xiaochu Zhang

  2. School of Science, Anhui Agricultural University, Hefei, 230036, China

    Wenjuan Wang

  3. Anhui Province Key Laboratory of Medical Physics and Technology, Center of Medical Physics and Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China

    Jin Liu, Tengfei Wang, Zongtao Hu, Li Xia, Hongzhi Wang, Lizhuang Yang & Hai Li

  4. Cancer Hospital, Chinese Academy of Sciences, Hefei, 230031, China

    Tengfei Wang, Zongtao Hu, Li Xia, Hongzhi Wang, Lizhuang Yang & Hai Li

  5. Department of Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Weill Cornell Medicine, Houston, TX, 77030, USA

    Stephen T.C. Wong

Authors
  1. Wenjuan Wang
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  2. Jin Liu
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  3. Tengfei Wang
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  4. Zongtao Hu
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  5. Li Xia
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  6. Hongzhi Wang
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  7. Lizhuang Yang
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  8. Stephen T.C. Wong
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  9. Xiaochu Zhang
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  10. Hai Li
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Corresponding authors

Correspondence to Lizhuang Yang or Hai Li .

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Editors and Affiliations

  1. The University of Texas at Arlington, Arlington, TX, USA

    Dajiang Zhu

  2. Indiana University – Purdue University Indianapolis, Indianapolis, IN, USA

    Jingwen Yan

  3. University of Pittsburgh, Pittsburgh, PA, USA

    Heng Huang

  4. University of Pennsylvania, Philadelphia, PA, USA

    Li Shen

  5. University of Southern California, Marina Del Rey, CA, USA

    Paul M. Thompson

  6. Harvard Medical School, Boston, MA, USA

    Carl-Fredrik Westin

  7. Inria Sophia-Antipolis, Sophia-Antipolis, France

    Xavier Pennec

  8. University of Utah, Salt Lake City, UT, USA

    Sarang Joshi

  9. University of Copenhagen, Copenhagen, Denmark

    Mads Nielsen

  10. University of Virginia, Charlottesville, VA, USA

    Tom Fletcher

  11. Inria, Paris, France

    Stanley Durrleman

  12. University of Copenhagen, Copenhagen, Denmark

    Stefan Sommer

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Wang, W. et al. (2019). Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm. In: Zhu, D., et al. Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy. MBIA MFCA 2019 2019. Lecture Notes in Computer Science(), vol 11846. Springer, Cham. https://doi.org/10.1007/978-3-030-33226-6_1

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  • DOI: https://doi.org/10.1007/978-3-030-33226-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33225-9

  • Online ISBN: 978-3-030-33226-6

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