Fast neuroimaging-based retrieval for Alzheimer’s disease analysis

Xiaofeng Zhu; Kim Han Thung; Jun Zhang; Dinggang Shen

doi:10.1007/978-3-319-47157-0_38

Fast neuroimaging-based retrieval for Alzheimer’s disease analysis

Xiaofeng Zhu, Kim Han Thung, Jun Zhang, Dinggang Shen

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

2 Citations (Scopus)

Abstract

This paper proposes a framework of fast neuroimaging-based retrieval and AD analysis, by three key steps: (1) landmark detection, which efficiently extracts landmark-based neuroimaging features without the need of nonlinear registration in testing stage; (2) landmark selection, which removes redundant/noisy landmarks via proposing a feature selection method that considers structural information among landmarks; and (3) hashing, which converts high-dimensional features of subjects into binary codes, for efficiently conducting approximate nearest neighbor search and diagnosis of AD. We have conducted experiments on Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset, and demonstrated that our framework could achieve higher performance than the comparison methods, in terms of accuracy and speed (at least 100 times faster).

Original language	English
Title of host publication	Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings
Editors	Li Wang, Heung-Il Suk, Yinghuan Shi, Ehsan Adeli, Qian Wang
Publisher	Springer Verlag
Pages	313-321
Number of pages	9
ISBN (Print)	9783319471563
DOIs	https://doi.org/10.1007/978-3-319-47157-0_38
Publication status	Published - 2016
Event	7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 - Athens, Greece Duration: 2016 Oct 17 → 2016 Oct 17

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10019 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
Country/Territory	Greece
City	Athens
Period	16/10/17 → 16/10/17

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG 2016.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-47157-0_38

Cite this

Zhu, X., Thung, K. H., Zhang, J., & Shen, D. (2016). Fast neuroimaging-based retrieval for Alzheimer’s disease analysis. In L. Wang, H.-I. Suk, Y. Shi, E. Adeli, & Q. Wang (Eds.), Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings (pp. 313-321). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10019 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-47157-0_38

Fast neuroimaging-based retrieval for Alzheimer’s disease analysis. / Zhu, Xiaofeng; Thung, Kim Han; Zhang, Jun et al.
Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. ed. / Li Wang; Heung-Il Suk; Yinghuan Shi; Ehsan Adeli; Qian Wang. Springer Verlag, 2016. p. 313-321 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10019 LNCS).

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

Zhu, X, Thung, KH, Zhang, J & Shen, D 2016, Fast neuroimaging-based retrieval for Alzheimer’s disease analysis. in L Wang, H-I Suk, Y Shi, E Adeli & Q Wang (eds), Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10019 LNCS, Springer Verlag, pp. 313-321, 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, Athens, Greece, 16/10/17. https://doi.org/10.1007/978-3-319-47157-0_38

Zhu X, Thung KH, Zhang J, Shen D. Fast neuroimaging-based retrieval for Alzheimer’s disease analysis. In Wang L, Suk HI, Shi Y, Adeli E, Wang Q, editors, Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. Springer Verlag. 2016. p. 313-321. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-47157-0_38

Zhu, Xiaofeng ; Thung, Kim Han ; Zhang, Jun et al. / Fast neuroimaging-based retrieval for Alzheimer’s disease analysis. Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016 held in conjunction with MICCAI 2016, Proceedings. editor / Li Wang ; Heung-Il Suk ; Yinghuan Shi ; Ehsan Adeli ; Qian Wang. Springer Verlag, 2016. pp. 313-321 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Fast neuroimaging-based retrieval for Alzheimer’s disease analysis

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