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Article: Diffusion MRI registration using orientation distribution functions.

TitleDiffusion MRI registration using orientation distribution functions.
Authors
Issue Date2009
Citation
Information Processing In Medical Imaging : Proceedings Of The ... Conference, 2009, v. 21, p. 626-637 How to Cite?
AbstractWe propose a linear-elastic registration method to register diffusion-weighted MRI (DW-MRI) data sets by mapping their diffusion orientation distribution functions (ODFs). The ODFs were reconstructed using a q-ball imaging (QBI) technique to resolve intravoxel fiber crossing. The registration method is based on mapping the ODF maps represented by spherical harmonics which yield analytic solutions and reduce the computational complexity. ODF reorientation is required to maintain the consistency with transformed local fiber directions. The reorientation matrices are extracted from the local Jacobian and directly applied to the coefficients of spherical harmonics. The similarity cost of the registration is defined by the ODF shape distance calculated from the spherical harmonic coefficients. The transformation fields are regularized by linear elastic constraints. The proposed method was validated using both synthetic and real data sets. Experimental results show that the elastic registration improved the affine alignment by further reducing the ODF shape difference; reorientation during the registration produced registered ODF maps with more consistent principle directions compared to registrations without reorientation or simultaneous reorientation.
Persistent Identifierhttp://hdl.handle.net/10722/169874
ISSN
2015 SCImago Journal Rankings: 0.611

 

DC FieldValueLanguage
dc.contributor.authorGeng, Xen_HK
dc.contributor.authorRoss, TJen_HK
dc.contributor.authorZhan, Wen_HK
dc.contributor.authorGu, Hen_HK
dc.contributor.authorChao, YPen_HK
dc.contributor.authorLin, CPen_HK
dc.contributor.authorChristensen, GEen_HK
dc.contributor.authorSchuff, Nen_HK
dc.contributor.authorYang, Yen_HK
dc.date.accessioned2012-10-25T04:57:27Z-
dc.date.available2012-10-25T04:57:27Z-
dc.date.issued2009en_HK
dc.identifier.citationInformation Processing In Medical Imaging : Proceedings Of The ... Conference, 2009, v. 21, p. 626-637en_HK
dc.identifier.issn1011-2499en_HK
dc.identifier.urihttp://hdl.handle.net/10722/169874-
dc.description.abstractWe propose a linear-elastic registration method to register diffusion-weighted MRI (DW-MRI) data sets by mapping their diffusion orientation distribution functions (ODFs). The ODFs were reconstructed using a q-ball imaging (QBI) technique to resolve intravoxel fiber crossing. The registration method is based on mapping the ODF maps represented by spherical harmonics which yield analytic solutions and reduce the computational complexity. ODF reorientation is required to maintain the consistency with transformed local fiber directions. The reorientation matrices are extracted from the local Jacobian and directly applied to the coefficients of spherical harmonics. The similarity cost of the registration is defined by the ODF shape distance calculated from the spherical harmonic coefficients. The transformation fields are regularized by linear elastic constraints. The proposed method was validated using both synthetic and real data sets. Experimental results show that the elastic registration improved the affine alignment by further reducing the ODF shape difference; reorientation during the registration produced registered ODF maps with more consistent principle directions compared to registrations without reorientation or simultaneous reorientation.en_HK
dc.languageengen_US
dc.relation.ispartofInformation processing in medical imaging : proceedings of the ... conferenceen_HK
dc.subject.meshAlgorithmsen_US
dc.subject.meshArtificial Intelligenceen_US
dc.subject.meshBrain - Anatomy & Histologyen_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.meshImaging, Three-Dimensional - Methodsen_US
dc.subject.meshNerve Fibers, Myelinated - Ultrastructureen_US
dc.subject.meshPattern Recognition, Automated - Methodsen_US
dc.subject.meshReproducibility Of Resultsen_US
dc.subject.meshSensitivity And Specificityen_US
dc.subject.meshSubtraction Techniqueen_US
dc.titleDiffusion MRI registration using orientation distribution functions.en_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.pmid19694299-
dc.identifier.scopuseid_2-s2.0-70349313283en_HK
dc.identifier.volume21en_HK
dc.identifier.spage626en_HK
dc.identifier.epage637en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridGeng, X=34771310000en_HK
dc.identifier.scopusauthoridRoss, TJ=7203043487en_HK
dc.identifier.scopusauthoridZhan, W=7102238668en_HK
dc.identifier.scopusauthoridGu, H=35233258000en_HK
dc.identifier.scopusauthoridChao, YP=15843250800en_HK
dc.identifier.scopusauthoridLin, CP=35242710800en_HK
dc.identifier.scopusauthoridChristensen, GE=7202944649en_HK
dc.identifier.scopusauthoridSchuff, N=7005417661en_HK
dc.identifier.scopusauthoridYang, Y=7409387192en_HK

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