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Article: Implicit reference-based group-wise image registration and its application to structural and functional MRI

TitleImplicit reference-based group-wise image registration and its application to structural and functional MRI
Authors
Issue Date2009
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg
Citation
Neuroimage, 2009, v. 47 n. 4, p. 1341-1351 How to Cite?
AbstractIn this study, an implicit reference group-wise (IRG) registration with a small deformation, linear elastic model was used to jointly estimate correspondences between a set of MRI images. The performance of pair-wise and group-wise registration algorithms was evaluated for spatial normalization of structural and functional MRI data. Traditional spatial normalization is accomplished by group-to-reference (G2R) registration in which a group of images are registered pair-wise to a reference image. G2R registration is limited due to bias associated with selecting a reference image. In contrast, implicit reference group-wise (IRG) registration estimates correspondences between a group of images by jointly registering the images to an implicit reference corresponding to the group average. The implicit reference is estimated during IRG registration eliminating the bias associated with selecting a specific reference image. Registration performance was evaluated using segmented T1-weighted magnetic resonance images from the Nonrigid Image Registration Evaluation Project (NIREP), DTI and fMRI images. Implicit reference pair-wise (IRP) registration-a special case of IRG registration for two images-is shown to produce better relative overlap than IRG for pair-wise registration using the same small deformation, linear elastic registration model. However, IRP-G2R registration is shown to have significant transitivity error, i.e., significant inconsistencies between correspondences defined by different pair-wise transformations. In contrast, IRG registration produces consistent correspondence between images in a group at the cost of slightly reduced pair-wise RO accuracy compared to IRP-G2R. IRG spatial normalization of the fractional anisotropy (FA) maps of DTI is shown to have smaller FA variance compared with G2R methods using the same elastic registration model. Analyses of fMRI data sets with sensorimotor and visual tasks show that IRG registration, on average, increases the statistical detectability of brain activation compared to G2R registration. © 2009 Elsevier Inc.
Persistent Identifierhttp://hdl.handle.net/10722/169873
ISSN
2015 Impact Factor: 5.463
2015 SCImago Journal Rankings: 4.464
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorGeng, Xen_HK
dc.contributor.authorChristensen, GEen_HK
dc.contributor.authorGu, Hen_HK
dc.contributor.authorRoss, TJen_HK
dc.contributor.authorYang, Yen_HK
dc.date.accessioned2012-10-25T04:57:26Z-
dc.date.available2012-10-25T04:57:26Z-
dc.date.issued2009en_HK
dc.identifier.citationNeuroimage, 2009, v. 47 n. 4, p. 1341-1351en_HK
dc.identifier.issn1053-8119en_HK
dc.identifier.urihttp://hdl.handle.net/10722/169873-
dc.description.abstractIn this study, an implicit reference group-wise (IRG) registration with a small deformation, linear elastic model was used to jointly estimate correspondences between a set of MRI images. The performance of pair-wise and group-wise registration algorithms was evaluated for spatial normalization of structural and functional MRI data. Traditional spatial normalization is accomplished by group-to-reference (G2R) registration in which a group of images are registered pair-wise to a reference image. G2R registration is limited due to bias associated with selecting a reference image. In contrast, implicit reference group-wise (IRG) registration estimates correspondences between a group of images by jointly registering the images to an implicit reference corresponding to the group average. The implicit reference is estimated during IRG registration eliminating the bias associated with selecting a specific reference image. Registration performance was evaluated using segmented T1-weighted magnetic resonance images from the Nonrigid Image Registration Evaluation Project (NIREP), DTI and fMRI images. Implicit reference pair-wise (IRP) registration-a special case of IRG registration for two images-is shown to produce better relative overlap than IRG for pair-wise registration using the same small deformation, linear elastic registration model. However, IRP-G2R registration is shown to have significant transitivity error, i.e., significant inconsistencies between correspondences defined by different pair-wise transformations. In contrast, IRG registration produces consistent correspondence between images in a group at the cost of slightly reduced pair-wise RO accuracy compared to IRP-G2R. IRG spatial normalization of the fractional anisotropy (FA) maps of DTI is shown to have smaller FA variance compared with G2R methods using the same elastic registration model. Analyses of fMRI data sets with sensorimotor and visual tasks show that IRG registration, on average, increases the statistical detectability of brain activation compared to G2R registration. © 2009 Elsevier Inc.en_HK
dc.languageengen_US
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimgen_HK
dc.relation.ispartofNeuroImageen_HK
dc.subject.meshAlgorithmsen_US
dc.subject.meshBrain - Anatomy & Histology - Physiologyen_US
dc.subject.meshDiffusion Magnetic Resonance Imaging - Methodsen_US
dc.subject.meshHumansen_US
dc.subject.meshImage Enhancement - Methodsen_US
dc.subject.meshImage Interpretation, Computer-Assisted - Methodsen_US
dc.subject.meshMagnetic Resonance Imaging - Methodsen_US
dc.subject.meshPattern Recognition, Automated - Methodsen_US
dc.subject.meshSensitivity And Specificityen_US
dc.subject.meshSubtraction Techniqueen_US
dc.titleImplicit reference-based group-wise image registration and its application to structural and functional MRIen_HK
dc.typeArticleen_HK
dc.identifier.emailGeng, X: gengx@hku.hken_HK
dc.identifier.authorityGeng, X=rp01678en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.neuroimage.2009.04.024en_HK
dc.identifier.pmid19371788-
dc.identifier.scopuseid_2-s2.0-67651042555en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-67651042555&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume47en_HK
dc.identifier.issue4en_HK
dc.identifier.spage1341en_HK
dc.identifier.epage1351en_HK
dc.identifier.isiWOS:000269035100024-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridGeng, X=34771310000en_HK
dc.identifier.scopusauthoridChristensen, GE=7202944649en_HK
dc.identifier.scopusauthoridGu, H=35233258000en_HK
dc.identifier.scopusauthoridRoss, TJ=7203043487en_HK
dc.identifier.scopusauthoridYang, Y=35294154700en_HK
dc.identifier.citeulike4385892-

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