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Estimating shape correspondence for populations of objects with complex topology

dc.contributor.authorFishbaugh, James
dc.contributor.authorPascal, Laura
dc.contributor.authorFischer, Luke
dc.contributor.authorNguyen, Tung
dc.contributor.authorBoen, Celso [UNESP]
dc.contributor.authorGoncalves, Joao [UNESP]
dc.contributor.authorGerig, Guido
dc.contributor.authorPaniagua, Beatriz
dc.contributor.institutionNYU Tandon School of Engineering
dc.contributor.institutionKitware Inc.
dc.contributor.institutionUNC School of Dentistry
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-28T19:08:57Z
dc.date.available2022-04-28T19:08:57Z
dc.date.issued2018-05-23
dc.description.abstractStatistical shape analysis captures the geometric properties of a given set of shapes, obtained from medical images, by means of statistical methods. Orthognathic surgery is a type of craniofacial surgery that is aimed at correcting severe skeletal deformities in the mandible and maxilla. Methods assuming spherical topology cannot represent the class of anatomical structures exhibiting complex geometries and topologies, including the mandible. In this paper we propose methodology based on non-rigid deformations of 3D geometries to be applied to objects with thin, complex structures. We are able to accurately and quantitatively characterize bone healing at the osteotomy site as well as condylar remodeling for three orthognathic surgery cases, demonstrating the effectiveness of the proposed methodology.en
dc.description.affiliationNYU Tandon School of Engineering
dc.description.affiliationKitware Inc.
dc.description.affiliationUNC School of Dentistry
dc.description.affiliationUniversidade Estadual Paulista Jùlio de Mesquita Filho
dc.description.affiliationUnespUniversidade Estadual Paulista Jùlio de Mesquita Filho
dc.format.extent1010-1013
dc.identifierhttp://dx.doi.org/10.1109/ISBI.2018.8363742
dc.identifier.citationProceedings - International Symposium on Biomedical Imaging, v. 2018-April, p. 1010-1013.
dc.identifier.dimensionspub.1104285230
dc.identifier.doi10.1109/ISBI.2018.8363742
dc.identifier.isbn978-1-5386-3636-7
dc.identifier.issn1945-8452
dc.identifier.issn1945-7928
dc.identifier.orcid0000-0002-8437-6632
dc.identifier.orcid0000-0002-4978-3558
dc.identifier.orcid0009-0003-9675-6776
dc.identifier.orcid0000-0002-9547-6233
dc.identifier.orcid0000-0002-4935-2256
dc.identifier.pmcidPMC6027655
dc.identifier.pmid29973974
dc.identifier.scopus2-s2.0-85048123924
dc.identifier.urihttp://hdl.handle.net/11449/221086
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProceedings - International Symposium on Biomedical Imaging
dc.rights.accessRightsAcesso abertopt
dc.rights.sourceRightsoa_all
dc.rights.sourceRightsgreen
dc.sourceScopus
dc.sourceDimensions
dc.subjectComplex topology
dc.subjectDiffeomorphic shape registration
dc.subjectOrthognathic surgery
dc.subjectStatistical shape analysis
dc.subjectStatistical shape modeling
dc.titleEstimating shape correspondence for populations of objects with complex topologyen
dc.typeTrabalho apresentado em eventopt
dspace.entity.typePublication

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