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dc.contributor.authorYeo, Boon Thye Thomas
dc.contributor.authorGolland, Polina
dc.contributor.authorSabuncu, Mert R.
dc.contributor.authorFischl, Bruce
dc.contributor.authorVercauteren, Tom
dc.contributor.authorAyache, Nicholas
dc.date.accessioned2010-10-27T17:49:29Z
dc.date.available2010-10-27T17:49:29Z
dc.date.issued2010-03
dc.identifier.issn0278-0062
dc.identifier.otherINSPEC Accession Number: 11152914
dc.identifier.urihttp://hdl.handle.net/1721.1/59540
dc.description.abstractWe present the Spherical Demons algorithm for registering two spherical images. By exploiting spherical vector spline interpolation theory, we show that a large class of regularizors for the modified Demons objective function can be efficiently approximated on the sphere using iterative smoothing. Based on one parameter subgroups of diffeomorphisms, the resulting registration is diffeomorphic and fast. The Spherical Demons algorithm can also be modified to register a given spherical image to a probabilistic atlas. We demonstrate two variants of the algorithm corresponding to warping the atlas or warping the subject. Registration of a cortical surface mesh to an atlas mesh, both with more than 160 k nodes requires less than 5 min when warping the atlas and less than 3 min when warping the subject on a Xeon 3.2 GHz single processor machine. This is comparable to the fastest nondiffeomorphic landmark-free surface registration algorithms. Furthermore, the accuracy of our method compares favorably to the popular FreeSurfer registration algorithm. We validate the technique in two different applications that use registration to transfer segmentation labels onto a new image (1) parcellation of in vivo cortical surfaces and (2) Brodmann area localization in ex vivo cortical surfaces.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/tmi.2009.2030797en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.subjectCortical registrationen_US
dc.subjectDemonsen_US
dc.subjectDiffeomorphismen_US
dc.subjectSpherical registrationen_US
dc.subjectSurface registrationen_US
dc.subjectVector field interpolationen_US
dc.titleSpherical Demons: Fast Diffeomorphic Landmark-Free Surface Registrationen_US
dc.typeArticleen_US
dc.identifier.citationYeo, B.T.T. et al. “Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration.” Medical Imaging, IEEE Transactions on 29.3 (2010): 650-668. © 2010, IEEEen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverGolland, Polina
dc.contributor.mitauthorYeo, Boon Thye Thomas
dc.contributor.mitauthorGolland, Polina
dc.contributor.mitauthorSabuncu, Mert R.
dc.contributor.mitauthorFischl, Bruce
dc.relation.journalIEEE transactions on medical imagingen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsYeo, B.T.T.; Sabuncu, M.R.; Vercauteren, T.; Ayache, N.; Fischl, B.; Golland, P.en
dc.identifier.orcidhttps://orcid.org/0000-0002-5002-1227
dc.identifier.orcidhttps://orcid.org/0000-0003-2516-731X
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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