Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features

Tuo Zhang; Hanbo Chen; Xi Jiang; Bao Ge; Lei Guo; Tianming Liu

doi:10.1109/ISBI.2015.7163954

Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features

Tuo Zhang, Hanbo Chen, Xi Jiang, Bao Ge, Lei Guo, Tianming Liu

School of Automation

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

Abstract

Recently, it has been shown that structural connectivity patterns derived from diffusion MRI (dMRI) can be used for cortical parcellation and segmentation. However, most previous methods were based on diffusion tractography, which is limited in depicting local profiles, e.g., in regions beneath the cortical sulcal fundi. Instead, in this paper, we propose to derive effective features directly from orientation distribution functions (ODFs), which contain rich information about local fiber connection profiles like crossings. Based on these ODFs features, we adopted a multiview spectral clustering method to group-wisely and consistently parcellate the cortical sulcal fundi. Experimental results on the central sulcal fundi are promising, which is further validated by resting state fMRI data mapping.

Original language	English
Title of host publication	2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015
Publisher	IEEE Computer Society
Pages	638-641
Number of pages	4
ISBN (Electronic)	9781479923748
DOIs	https://doi.org/10.1109/ISBI.2015.7163954
State	Published - 21 Jul 2015
Event	12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States Duration: 16 Apr 2015 → 19 Apr 2015

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2015-July
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	12th IEEE International Symposium on Biomedical Imaging, ISBI 2015
Country/Territory	United States
City	Brooklyn
Period	16/04/15 → 19/04/15

Keywords

ODF
segmentation
Sulcal fundus

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10.1109/ISBI.2015.7163954

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Zhang, T., Chen, H., Jiang, X., Ge, B., Guo, L., & Liu, T. (2015). Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features. In 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015 (pp. 638-641). Article 7163954 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July). IEEE Computer Society. https://doi.org/10.1109/ISBI.2015.7163954

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title = "Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features",

abstract = "Recently, it has been shown that structural connectivity patterns derived from diffusion MRI (dMRI) can be used for cortical parcellation and segmentation. However, most previous methods were based on diffusion tractography, which is limited in depicting local profiles, e.g., in regions beneath the cortical sulcal fundi. Instead, in this paper, we propose to derive effective features directly from orientation distribution functions (ODFs), which contain rich information about local fiber connection profiles like crossings. Based on these ODFs features, we adopted a multiview spectral clustering method to group-wisely and consistently parcellate the cortical sulcal fundi. Experimental results on the central sulcal fundi are promising, which is further validated by resting state fMRI data mapping.",

keywords = "ODF, segmentation, Sulcal fundus",

author = "Tuo Zhang and Hanbo Chen and Xi Jiang and Bao Ge and Lei Guo and Tianming Liu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 ; Conference date: 16-04-2015 Through 19-04-2015",

year = "2015",

month = jul,

day = "21",

doi = "10.1109/ISBI.2015.7163954",

language = "英语",

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Zhang, T, Chen, H, Jiang, X, Ge, B, Guo, L & Liu, T 2015, Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features. in 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015., 7163954, Proceedings - International Symposium on Biomedical Imaging, vol. 2015-July, IEEE Computer Society, pp. 638-641, 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 16/04/15. https://doi.org/10.1109/ISBI.2015.7163954

Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features. / Zhang, Tuo; Chen, Hanbo; Jiang, Xi et al.
2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015. IEEE Computer Society, 2015. p. 638-641 7163954 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2015-July).

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

TY - GEN

T1 - Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features

AU - Zhang, Tuo

AU - Chen, Hanbo

AU - Jiang, Xi

AU - Ge, Bao

AU - Guo, Lei

AU - Liu, Tianming

PY - 2015/7/21

Y1 - 2015/7/21

N2 - Recently, it has been shown that structural connectivity patterns derived from diffusion MRI (dMRI) can be used for cortical parcellation and segmentation. However, most previous methods were based on diffusion tractography, which is limited in depicting local profiles, e.g., in regions beneath the cortical sulcal fundi. Instead, in this paper, we propose to derive effective features directly from orientation distribution functions (ODFs), which contain rich information about local fiber connection profiles like crossings. Based on these ODFs features, we adopted a multiview spectral clustering method to group-wisely and consistently parcellate the cortical sulcal fundi. Experimental results on the central sulcal fundi are promising, which is further validated by resting state fMRI data mapping.

AB - Recently, it has been shown that structural connectivity patterns derived from diffusion MRI (dMRI) can be used for cortical parcellation and segmentation. However, most previous methods were based on diffusion tractography, which is limited in depicting local profiles, e.g., in regions beneath the cortical sulcal fundi. Instead, in this paper, we propose to derive effective features directly from orientation distribution functions (ODFs), which contain rich information about local fiber connection profiles like crossings. Based on these ODFs features, we adopted a multiview spectral clustering method to group-wisely and consistently parcellate the cortical sulcal fundi. Experimental results on the central sulcal fundi are promising, which is further validated by resting state fMRI data mapping.

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KW - segmentation

KW - Sulcal fundus

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Group-wise consistent sulcal fundi segmentation based on DMRI-derived ODF features

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