Learning-based estimation of functional correlation tensors in white matter for early diagnosis of mild cognitive impairment

Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew Thian Yap, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

It has been recently demonstrated that the local BOLD signals in resting-state fMRI (rs-fMRI) can be captured for the white matter (WM) by functional correlation tensors (FCTs). FCTs provide similar orientation information as diffusion tensors (DTs), and also functional information concerning brain dynamics. However, FCTs are susceptible to noise due to the low signal-to-noise ratio nature of WM BOLD signals. Here we introduce a robust FCT estimation method to facilitate individualized diagnosis. First, we develop a noise-tolerating patch-based approach to measure spatiotemporal correlations of local BOLD signals. Second, it is also enhanced by DTs predicted from the input rs-fMRI using a learning-based regression model. We evaluate our trained regressor using the high-resolution HCP dataset. The regressor is then applied to estimate the robust FCTs for subjects in the ADNI2 dataset. We demonstrate for the first time the disease diagnostic value of robust FCTs.

Original languageEnglish
Title of host publicationPatch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings
PublisherSpringer Verlag
Pages65-73
Number of pages9
Volume10530 LNCS
ISBN (Print)9783319674339
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event3rd International Workshop on Patch-Based Techniques in Medical Imaging, Patch-MI 2017 held in conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017 - Quebec City, Canada
Duration: 2017 Sep 142017 Sep 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10530 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Workshop on Patch-Based Techniques in Medical Imaging, Patch-MI 2017 held in conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017
CountryCanada
CityQuebec City
Period17/9/1417/9/14

Fingerprint

Tensors
Tensor
Functional Magnetic Resonance Imaging
Learning
Patch
Brain
Regression Model
Signal to noise ratio
Diagnostics
High Resolution
Evaluate
Estimate
Demonstrate

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Zhang, L., Zhang, H., Chen, X., Wang, Q., Yap, P. T., & Shen, D. (2017). Learning-based estimation of functional correlation tensors in white matter for early diagnosis of mild cognitive impairment. In Patch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings (Vol. 10530 LNCS, pp. 65-73). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10530 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-67434-6_8

Learning-based estimation of functional correlation tensors in white matter for early diagnosis of mild cognitive impairment. / Zhang, Lichi; Zhang, Han; Chen, Xiaobo; Wang, Qian; Yap, Pew Thian; Shen, Dinggang.

Patch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Vol. 10530 LNCS Springer Verlag, 2017. p. 65-73 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10530 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, L, Zhang, H, Chen, X, Wang, Q, Yap, PT & Shen, D 2017, Learning-based estimation of functional correlation tensors in white matter for early diagnosis of mild cognitive impairment. in Patch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings. vol. 10530 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10530 LNCS, Springer Verlag, pp. 65-73, 3rd International Workshop on Patch-Based Techniques in Medical Imaging, Patch-MI 2017 held in conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017, Quebec City, Canada, 17/9/14. https://doi.org/10.1007/978-3-319-67434-6_8
Zhang L, Zhang H, Chen X, Wang Q, Yap PT, Shen D. Learning-based estimation of functional correlation tensors in white matter for early diagnosis of mild cognitive impairment. In Patch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Vol. 10530 LNCS. Springer Verlag. 2017. p. 65-73. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-67434-6_8
Zhang, Lichi ; Zhang, Han ; Chen, Xiaobo ; Wang, Qian ; Yap, Pew Thian ; Shen, Dinggang. / Learning-based estimation of functional correlation tensors in white matter for early diagnosis of mild cognitive impairment. Patch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Vol. 10530 LNCS Springer Verlag, 2017. pp. 65-73 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{de5791bb974d4d48a4bfb6bf3791fb0b,
title = "Learning-based estimation of functional correlation tensors in white matter for early diagnosis of mild cognitive impairment",
abstract = "It has been recently demonstrated that the local BOLD signals in resting-state fMRI (rs-fMRI) can be captured for the white matter (WM) by functional correlation tensors (FCTs). FCTs provide similar orientation information as diffusion tensors (DTs), and also functional information concerning brain dynamics. However, FCTs are susceptible to noise due to the low signal-to-noise ratio nature of WM BOLD signals. Here we introduce a robust FCT estimation method to facilitate individualized diagnosis. First, we develop a noise-tolerating patch-based approach to measure spatiotemporal correlations of local BOLD signals. Second, it is also enhanced by DTs predicted from the input rs-fMRI using a learning-based regression model. We evaluate our trained regressor using the high-resolution HCP dataset. The regressor is then applied to estimate the robust FCTs for subjects in the ADNI2 dataset. We demonstrate for the first time the disease diagnostic value of robust FCTs.",
author = "Lichi Zhang and Han Zhang and Xiaobo Chen and Qian Wang and Yap, {Pew Thian} and Dinggang Shen",
year = "2017",
doi = "10.1007/978-3-319-67434-6_8",
language = "English",
isbn = "9783319674339",
volume = "10530 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "65--73",
booktitle = "Patch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings",

}

TY - GEN

T1 - Learning-based estimation of functional correlation tensors in white matter for early diagnosis of mild cognitive impairment

AU - Zhang, Lichi

AU - Zhang, Han

AU - Chen, Xiaobo

AU - Wang, Qian

AU - Yap, Pew Thian

AU - Shen, Dinggang

PY - 2017

Y1 - 2017

N2 - It has been recently demonstrated that the local BOLD signals in resting-state fMRI (rs-fMRI) can be captured for the white matter (WM) by functional correlation tensors (FCTs). FCTs provide similar orientation information as diffusion tensors (DTs), and also functional information concerning brain dynamics. However, FCTs are susceptible to noise due to the low signal-to-noise ratio nature of WM BOLD signals. Here we introduce a robust FCT estimation method to facilitate individualized diagnosis. First, we develop a noise-tolerating patch-based approach to measure spatiotemporal correlations of local BOLD signals. Second, it is also enhanced by DTs predicted from the input rs-fMRI using a learning-based regression model. We evaluate our trained regressor using the high-resolution HCP dataset. The regressor is then applied to estimate the robust FCTs for subjects in the ADNI2 dataset. We demonstrate for the first time the disease diagnostic value of robust FCTs.

AB - It has been recently demonstrated that the local BOLD signals in resting-state fMRI (rs-fMRI) can be captured for the white matter (WM) by functional correlation tensors (FCTs). FCTs provide similar orientation information as diffusion tensors (DTs), and also functional information concerning brain dynamics. However, FCTs are susceptible to noise due to the low signal-to-noise ratio nature of WM BOLD signals. Here we introduce a robust FCT estimation method to facilitate individualized diagnosis. First, we develop a noise-tolerating patch-based approach to measure spatiotemporal correlations of local BOLD signals. Second, it is also enhanced by DTs predicted from the input rs-fMRI using a learning-based regression model. We evaluate our trained regressor using the high-resolution HCP dataset. The regressor is then applied to estimate the robust FCTs for subjects in the ADNI2 dataset. We demonstrate for the first time the disease diagnostic value of robust FCTs.

UR - http://www.scopus.com/inward/record.url?scp=85029457589&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85029457589&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-67434-6_8

DO - 10.1007/978-3-319-67434-6_8

M3 - Conference contribution

AN - SCOPUS:85029457589

SN - 9783319674339

VL - 10530 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 65

EP - 73

BT - Patch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings

PB - Springer Verlag

ER -