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Conference Paper: Transitive inverse-consistent manifold registration

TitleTransitive inverse-consistent manifold registration
Authors
Issue Date2005
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 19th International Conference on Information Processing in Medical Imaging (IPMI 2005), Glenwood Springs, CO., 10-15 July 2005. In Lecture Notes In Computer Science, 2005, v. 3565, p. 468-479 How to Cite?
AbstractThis paper presents a new registration method called Transitive Inverse-Consistent Manifold Registration (TICMR). The TICMR method jointly estimates correspondence maps between groups of three manifolds embedded in a higher dimensional image space while minimizing inverse consistency and transitivity errors. Registering three manifolds at once provides a means for minimizing the transitivity error which is not possible when registering only two manifolds. TICMR is an iterative method that uses the closest point projection operator to define correspondences between manifolds as they are non-rigidly registered. Examples of the TICMR method are presented for matching groups of three contours and groups of three surfaces. The contour registration is regularized by minimizing the change in bending energy of the curves while the surface registration is regularized by minimizing the change in elastic energy of the surfaces. The notions of inverse consistency error (ICE) and transitivity error (TE) are extended from volume registration to manifold registration by using a closest point projection operator. For the experiments in this paper, the TICMR method reduces the average ICE by 200 times (contour)/ 6 times (surface) and the average TE by 40 times (contour)/ 2-4 times (surface) compared to registering with a curvature constraint alone. Furthermore, the TICMR is shown to avoid some local minimum that are not avoided when registering with a curvature constraint alone. © Springer-Verlag Berlin Heidelberg 2005.
Persistent Identifierhttp://hdl.handle.net/10722/169881
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorGeng, Xen_HK
dc.contributor.authorKumar, Den_HK
dc.contributor.authorChristensen, GEen_HK
dc.date.accessioned2012-10-25T04:57:47Z-
dc.date.available2012-10-25T04:57:47Z-
dc.date.issued2005en_HK
dc.identifier.citationThe 19th International Conference on Information Processing in Medical Imaging (IPMI 2005), Glenwood Springs, CO., 10-15 July 2005. In Lecture Notes In Computer Science, 2005, v. 3565, p. 468-479en_US
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/169881-
dc.description.abstractThis paper presents a new registration method called Transitive Inverse-Consistent Manifold Registration (TICMR). The TICMR method jointly estimates correspondence maps between groups of three manifolds embedded in a higher dimensional image space while minimizing inverse consistency and transitivity errors. Registering three manifolds at once provides a means for minimizing the transitivity error which is not possible when registering only two manifolds. TICMR is an iterative method that uses the closest point projection operator to define correspondences between manifolds as they are non-rigidly registered. Examples of the TICMR method are presented for matching groups of three contours and groups of three surfaces. The contour registration is regularized by minimizing the change in bending energy of the curves while the surface registration is regularized by minimizing the change in elastic energy of the surfaces. The notions of inverse consistency error (ICE) and transitivity error (TE) are extended from volume registration to manifold registration by using a closest point projection operator. For the experiments in this paper, the TICMR method reduces the average ICE by 200 times (contour)/ 6 times (surface) and the average TE by 40 times (contour)/ 2-4 times (surface) compared to registering with a curvature constraint alone. Furthermore, the TICMR is shown to avoid some local minimum that are not avoided when registering with a curvature constraint alone. © Springer-Verlag Berlin Heidelberg 2005.en_HK
dc.languageengen_US
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Scienceen_HK
dc.titleTransitive inverse-consistent manifold registrationen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailGeng, X: gengx@hku.hken_HK
dc.identifier.authorityGeng, X=rp01678en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-26444523507en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-26444523507&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume3565en_HK
dc.identifier.spage468en_HK
dc.identifier.epage479en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridGeng, X=34771310000en_HK
dc.identifier.scopusauthoridKumar, D=35595856800en_HK
dc.identifier.scopusauthoridChristensen, GE=7202944649en_HK
dc.customcontrol.immutablesml 160531 amended-

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