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Conference Paper: Multi-contrast diffusion tensor image registration with structural MRI

TitleMulti-contrast diffusion tensor image registration with structural MRI
Authors
KeywordsDiffeomorphic Demons
Diffusion Tensor Imaging
Multi-Contrast Registration
T1-Weighted (T1 W) Mri
Issue Date2012
Citation
The 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012), Barcelona, Spain, 2-5 May 2012. In International Symposium on Biomedical Imaging Proceedings, 2012, p. 684-687, article no. 6235640 How to Cite?
AbstractWe present a diffeomorphic diffusion tensor image (DTI) registration technique with multi-contrast images extracted from DTI and conventional structural MRI data. DTI provides microstructure information in white matter. However due to the acquisition protocols used in many clinical studies, DTI has lower SNR and spatial resolution compared to structural MRI. Complementary information can be used to improve the registration of white and gray matter. The proposed registration framework is constructed by a vector-valued large deformation diffeomorphic demons approach. Fractional anisotropy (FA) and eigenvalues are included as DTI components. T1-weighted image serves as the structural MRI component. The performance of the proposed method is compared with DTI only multi-contrast and full tensor based registration methods. Incorporation of structural data reduces FA variance in white matter adjacent to cortical regions. Compared to tensor based registration, the multi-contrast methods generate smaller shape variance but less directional consistency. We also demonstrate that the proposed method reduces fiber tract variations across individuals and creates a denser fiber tract probability map compared to DTI based registrations. © 2012 IEEE.
DescriptionConference Theme: From Nano to Macro
Persistent Identifierhttp://hdl.handle.net/10722/179873
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorGeng, Xen_US
dc.contributor.authorStyner, Men_US
dc.contributor.authorGupta, Aen_US
dc.contributor.authorShen, Den_US
dc.contributor.authorGilmore, JHen_US
dc.date.accessioned2012-12-19T10:07:13Z-
dc.date.available2012-12-19T10:07:13Z-
dc.date.issued2012en_US
dc.identifier.citationThe 9th IEEE International Symposium on Biomedical Imaging (ISBI 2012), Barcelona, Spain, 2-5 May 2012. In International Symposium on Biomedical Imaging Proceedings, 2012, p. 684-687, article no. 6235640en_US
dc.identifier.issn1945-7928en_US
dc.identifier.urihttp://hdl.handle.net/10722/179873-
dc.descriptionConference Theme: From Nano to Macro-
dc.description.abstractWe present a diffeomorphic diffusion tensor image (DTI) registration technique with multi-contrast images extracted from DTI and conventional structural MRI data. DTI provides microstructure information in white matter. However due to the acquisition protocols used in many clinical studies, DTI has lower SNR and spatial resolution compared to structural MRI. Complementary information can be used to improve the registration of white and gray matter. The proposed registration framework is constructed by a vector-valued large deformation diffeomorphic demons approach. Fractional anisotropy (FA) and eigenvalues are included as DTI components. T1-weighted image serves as the structural MRI component. The performance of the proposed method is compared with DTI only multi-contrast and full tensor based registration methods. Incorporation of structural data reduces FA variance in white matter adjacent to cortical regions. Compared to tensor based registration, the multi-contrast methods generate smaller shape variance but less directional consistency. We also demonstrate that the proposed method reduces fiber tract variations across individuals and creates a denser fiber tract probability map compared to DTI based registrations. © 2012 IEEE.en_US
dc.languageengen_US
dc.relation.ispartofInternational Symposium on Biomedical Imaging Proceedingsen_US
dc.subjectDiffeomorphic Demonsen_US
dc.subjectDiffusion Tensor Imagingen_US
dc.subjectMulti-Contrast Registrationen_US
dc.subjectT1-Weighted (T1 W) Mrien_US
dc.titleMulti-contrast diffusion tensor image registration with structural MRIen_US
dc.typeConference_Paperen_US
dc.identifier.emailGeng, X: gengx@hku.hken_US
dc.identifier.authorityGeng, X=rp01678en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/ISBI.2012.6235640en_US
dc.identifier.scopuseid_2-s2.0-84864864598en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-84864864598&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage684en_US
dc.identifier.epage687en_US
dc.identifier.scopusauthoridGeng, X=34771310000en_US
dc.identifier.scopusauthoridStyner, M=55102069400en_US
dc.identifier.scopusauthoridGupta, A=8725669500en_US
dc.identifier.scopusauthoridShen, D=7401738392en_US
dc.identifier.scopusauthoridGilmore, JH=55311880600en_US
dc.customcontrol.immutablesml 160531 amended-

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