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

Wenjuan Wang; Jin Liu; Tengfei Wang; Zongtao Hu; Li Xia; Hongzhi Wang; Lizhuang Yang; Stephen T.C. Wong; Xiaochu Zhang; Hai Li

doi:10.1007/978-3-030-33226-6_1

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

Wenjuan Wang, Jin Liu, Tengfei Wang, Zongtao Hu, Li Xia, Hongzhi Wang, Lizhuang Yang, Stephen T.C. Wong, Xiaochu Zhang, Hai Li

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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).

Original language	English (US)
Title of host publication	Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings
Editors	Dajiang Zhu, Jingwen Yan, Heng Huang, Li Shen, Paul M. Thompson, Carl-Fredrik Westin, Xavier Pennec, Sarang Joshi, Mads Nielsen, Stefan Sommer, Tom Fletcher, Stanley Durrleman
Publisher	Springer
Pages	3-11
Number of pages	9
ISBN (Print)	9783030332259
DOIs	https://doi.org/10.1007/978-3-030-33226-6_1
State	Published - 2019
Event	4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2019 - Shenzhen, China Duration: Oct 17 2019 → Oct 17 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11846 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2019
Country/Territory	China
City	Shenzhen
Period	10/17/19 → 10/17/19

Keywords

CPD
DTI
Registration
Tract-based analysis

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-030-33226-6_1

Cite this

Wang, W., Liu, J., Wang, T., Hu, Z., Xia, L., Wang, H., Yang, L., Wong, S. T. C., Zhang, X., & Li, H. (2019). Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm. In D. Zhu, J. Yan, H. Huang, L. Shen, P. M. Thompson, C-F. Westin, X. Pennec, S. Joshi, M. Nielsen, S. Sommer, T. Fletcher, & S. Durrleman (Eds.), Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings (pp. 3-11). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11846 LNCS). Springer. https://doi.org/10.1007/978-3-030-33226-6_1

Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm. / Wang, Wenjuan; Liu, Jin; Wang, Tengfei et al.

Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. ed. / Dajiang Zhu; Jingwen Yan; Heng Huang; Li Shen; Paul M. Thompson; Carl-Fredrik Westin; Xavier Pennec; Sarang Joshi; Mads Nielsen; Stefan Sommer; Tom Fletcher; Stanley Durrleman. Springer, 2019. p. 3-11 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11846 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, W, Liu, J, Wang, T, Hu, Z, Xia, L, Wang, H, Yang, L, Wong, STC, Zhang, X & Li, H 2019, Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm. in D Zhu, J Yan, H Huang, L Shen, PM Thompson, C-F Westin, X Pennec, S Joshi, M Nielsen, S Sommer, T Fletcher & S Durrleman (eds), Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11846 LNCS, Springer, pp. 3-11, 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2019, Shenzhen, China, 10/17/19. https://doi.org/10.1007/978-3-030-33226-6_1

Wang W, Liu J, Wang T, Hu Z, Xia L, Wang H et al. Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm. In Zhu D, Yan J, Huang H, Shen L, Thompson PM, Westin C-F, Pennec X, Joshi S, Nielsen M, Sommer S, Fletcher T, Durrleman S, editors, Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. Springer. 2019. p. 3-11. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-33226-6_1

Wang, Wenjuan ; Liu, Jin ; Wang, Tengfei et al. / Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm. Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings. editor / Dajiang Zhu ; Jingwen Yan ; Heng Huang ; Li Shen ; Paul M. Thompson ; Carl-Fredrik Westin ; Xavier Pennec ; Sarang Joshi ; Mads Nielsen ; Stefan Sommer ; Tom Fletcher ; Stanley Durrleman. Springer, 2019. pp. 3-11 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Non-rigid Registration of White Matter Tractography Using Coherent Point Drift Algorithm",

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{\textquoteright}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).",

keywords = "CPD, DTI, Registration, Tract-based analysis",

author = "Wenjuan Wang and Jin Liu and Tengfei Wang and Zongtao Hu and Li Xia and Hongzhi Wang and Lizhuang Yang and Wong, {Stephen T.C.} and Xiaochu Zhang and Hai Li",

note = "Funding Information: Acknowledgements. This work was supported by the National Key R&D Program of China (2017YFB1300204), Hefei Foreign Cooperation Project (ZR201801020002), Director{\textquoteright}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). Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 4th International Workshop on Multimodal Brain Image Analysis, MBAI 2019, and the 7th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2019, held in conjunction with the 22nd International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2019 ; Conference date: 17-10-2019 Through 17-10-2019",

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editor = "Dajiang Zhu and Jingwen Yan and Heng Huang and Li Shen and Thompson, {Paul M.} and Carl-Fredrik Westin and Xavier Pennec and Sarang Joshi and Mads Nielsen and Stefan Sommer and Tom Fletcher and Stanley Durrleman",

booktitle = "Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy - 4th International Workshop, MBIA 2019, and 7th International Workshop, MFCA 2019, Held in Conjunction with MICCAI 2019, Proceedings",

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AU - Yang, Lizhuang

AU - Wong, Stephen T.C.

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N1 - Funding Information: 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). Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

Y1 - 2019

N2 - 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).

AB - 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).

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ER -

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

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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