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- Publisher Website: 10.1007/s10916-010-9509-9
- Scopus: eid_2-s2.0-84856224729
- PMID: 20703687
- WOS: WOS:000297856600022
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Conference Paper: Unbiased group-wise image registration: Applications in brain fiber tract atlas construction and functional connectivity analysis
Title | Unbiased group-wise image registration: Applications in brain fiber tract atlas construction and functional connectivity analysis |
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Authors | |
Keywords | DTI Fiber tract Fractional anisotropy Group-wise image registration Resting-state fMRI |
Issue Date | 2011 |
Publisher | Springer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0148-5598 |
Citation | Journal of Medical Systems, 2011, v. 35 n. 5, p. 921-928 How to Cite? |
Abstract | We propose an unbiased implicit-reference group-wise (IRG) image registration method and demonstrate its applications in the construction of a brain white matter fiber tract atlas and the analysis of resting-state functional MRI (fMRI) connectivity. Most image registration techniques pair-wise align images to a selected reference image and group analyses are performed in the reference space, which may produce bias. The proposed method jointly estimates transformations, with an elastic deformation model, registering all images to an implicit reference corresponding to the group average. The unbiased registration is applied to build a fiber tract atlas by registering a group of diffusion tensor images. Compared to reference-based registration, the IRG registration improves the fiber track overlap within the group. After applying the method in the fMRI connectivity analysis, results suggest a general improvement in functional connectivity maps at a group level in terms of larger cluster size and higher average t-scores. © 2010 US Government. |
Description | This journal issue entitled: Special Issue on Proceedings of the Second International Conference on Biomedical Engineering and Informatics, Special Issue on Distributed Diagnosis and Home Healthcare, Special Issue on ACM International Health Informatics 2010, Special Issue on Performance Measurement in the Health Sector and Special Issue on Ban on Healthcare Applications |
Persistent Identifier | http://hdl.handle.net/10722/169887 |
ISSN | 2023 Impact Factor: 3.5 2023 SCImago Journal Rankings: 0.969 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Geng, X | en_HK |
dc.contributor.author | Gu, H | en_HK |
dc.contributor.author | Shin, W | en_HK |
dc.contributor.author | Ross, TJ | en_HK |
dc.contributor.author | Yang, Y | en_HK |
dc.date.accessioned | 2012-10-25T04:57:51Z | - |
dc.date.available | 2012-10-25T04:57:51Z | - |
dc.date.issued | 2011 | en_HK |
dc.identifier.citation | Journal of Medical Systems, 2011, v. 35 n. 5, p. 921-928 | en_US |
dc.identifier.issn | 0148-5598 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/169887 | - |
dc.description | This journal issue entitled: Special Issue on Proceedings of the Second International Conference on Biomedical Engineering and Informatics, Special Issue on Distributed Diagnosis and Home Healthcare, Special Issue on ACM International Health Informatics 2010, Special Issue on Performance Measurement in the Health Sector and Special Issue on Ban on Healthcare Applications | - |
dc.description.abstract | We propose an unbiased implicit-reference group-wise (IRG) image registration method and demonstrate its applications in the construction of a brain white matter fiber tract atlas and the analysis of resting-state functional MRI (fMRI) connectivity. Most image registration techniques pair-wise align images to a selected reference image and group analyses are performed in the reference space, which may produce bias. The proposed method jointly estimates transformations, with an elastic deformation model, registering all images to an implicit reference corresponding to the group average. The unbiased registration is applied to build a fiber tract atlas by registering a group of diffusion tensor images. Compared to reference-based registration, the IRG registration improves the fiber track overlap within the group. After applying the method in the fMRI connectivity analysis, results suggest a general improvement in functional connectivity maps at a group level in terms of larger cluster size and higher average t-scores. © 2010 US Government. | en_HK |
dc.language | eng | en_US |
dc.publisher | Springer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0148-5598 | en_HK |
dc.relation.ispartof | Journal of Medical Systems | en_HK |
dc.subject | DTI | en_HK |
dc.subject | Fiber tract | en_HK |
dc.subject | Fractional anisotropy | en_HK |
dc.subject | Group-wise image registration | en_HK |
dc.subject | Resting-state fMRI | en_HK |
dc.subject.mesh | Algorithms | en_US |
dc.subject.mesh | Brain - Anatomy & Histology | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Image Enhancement | en_US |
dc.subject.mesh | Magnetic Resonance Imaging | en_US |
dc.subject.mesh | Nerve Fibers - Physiology | en_US |
dc.subject.mesh | Pattern Recognition, Automated - Methods | en_US |
dc.title | Unbiased group-wise image registration: Applications in brain fiber tract atlas construction and functional connectivity analysis | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Geng, X: gengx@hku.hk | en_HK |
dc.identifier.authority | Geng, X=rp01678 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1007/s10916-010-9509-9 | en_HK |
dc.identifier.pmid | 20703687 | - |
dc.identifier.scopus | eid_2-s2.0-84856224729 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-84856224729&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 35 | en_HK |
dc.identifier.issue | 5 | en_HK |
dc.identifier.spage | 921 | en_HK |
dc.identifier.epage | 928 | en_HK |
dc.identifier.isi | WOS:000297856600022 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Geng, X=34771310000 | en_HK |
dc.identifier.scopusauthorid | Gu, H=35233258000 | en_HK |
dc.identifier.scopusauthorid | Shin, W=8573966900 | en_HK |
dc.identifier.scopusauthorid | Ross, TJ=7203043487 | en_HK |
dc.identifier.scopusauthorid | Yang, Y=7409387192 | en_HK |
dc.identifier.citeulike | 7239244 | - |
dc.customcontrol.immutable | sml 160531 amended | - |
dc.identifier.issnl | 0148-5598 | - |