Estimating shape correspondence for populations of objects with complex topology

Detalhes bibliográficos
Autor(a) principal: Fishbaugh, James
Data de Publicação: 2018
Outros Autores: Pascal, Laura, Fischer, Luke, Nguyen, Tung, Boen, Celso [UNESP], Goncalves, Joao [UNESP], Gerig, Guido, Paniagua, Beatriz
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ISBI.2018.8363742
http://hdl.handle.net/11449/221086
Resumo: Statistical 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.
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spelling Estimating shape correspondence for populations of objects with complex topologyComplex topologyDiffeomorphic shape registrationOrthognathic surgeryStatistical shape analysisStatistical shape modelingStatistical 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.NYU Tandon School of EngineeringKitware Inc.UNC School of DentistryUniversidade Estadual Paulista Jùlio de Mesquita FilhoUniversidade Estadual Paulista Jùlio de Mesquita FilhoNYU Tandon School of EngineeringKitware Inc.UNC School of DentistryUniversidade Estadual Paulista (UNESP)Fishbaugh, JamesPascal, LauraFischer, LukeNguyen, TungBoen, Celso [UNESP]Goncalves, Joao [UNESP]Gerig, GuidoPaniagua, Beatriz2022-04-28T19:08:57Z2022-04-28T19:08:57Z2018-05-23info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1010-1013http://dx.doi.org/10.1109/ISBI.2018.8363742Proceedings - International Symposium on Biomedical Imaging, v. 2018-April, p. 1010-1013.1945-84521945-7928http://hdl.handle.net/11449/22108610.1109/ISBI.2018.83637422-s2.0-85048123924Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - International Symposium on Biomedical Imaginginfo:eu-repo/semantics/openAccess2022-04-28T19:08:57Zoai:repositorio.unesp.br:11449/221086Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:10:50.872293Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Estimating shape correspondence for populations of objects with complex topology
title Estimating shape correspondence for populations of objects with complex topology
spellingShingle Estimating shape correspondence for populations of objects with complex topology
Fishbaugh, James
Complex topology
Diffeomorphic shape registration
Orthognathic surgery
Statistical shape analysis
Statistical shape modeling
title_short Estimating shape correspondence for populations of objects with complex topology
title_full Estimating shape correspondence for populations of objects with complex topology
title_fullStr Estimating shape correspondence for populations of objects with complex topology
title_full_unstemmed Estimating shape correspondence for populations of objects with complex topology
title_sort Estimating shape correspondence for populations of objects with complex topology
author Fishbaugh, James
author_facet Fishbaugh, James
Pascal, Laura
Fischer, Luke
Nguyen, Tung
Boen, Celso [UNESP]
Goncalves, Joao [UNESP]
Gerig, Guido
Paniagua, Beatriz
author_role author
author2 Pascal, Laura
Fischer, Luke
Nguyen, Tung
Boen, Celso [UNESP]
Goncalves, Joao [UNESP]
Gerig, Guido
Paniagua, Beatriz
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv NYU Tandon School of Engineering
Kitware Inc.
UNC School of Dentistry
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Fishbaugh, James
Pascal, Laura
Fischer, Luke
Nguyen, Tung
Boen, Celso [UNESP]
Goncalves, Joao [UNESP]
Gerig, Guido
Paniagua, Beatriz
dc.subject.por.fl_str_mv Complex topology
Diffeomorphic shape registration
Orthognathic surgery
Statistical shape analysis
Statistical shape modeling
topic Complex topology
Diffeomorphic shape registration
Orthognathic surgery
Statistical shape analysis
Statistical shape modeling
description Statistical 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-05-23
2022-04-28T19:08:57Z
2022-04-28T19:08:57Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/ISBI.2018.8363742
Proceedings - International Symposium on Biomedical Imaging, v. 2018-April, p. 1010-1013.
1945-8452
1945-7928
http://hdl.handle.net/11449/221086
10.1109/ISBI.2018.8363742
2-s2.0-85048123924
url http://dx.doi.org/10.1109/ISBI.2018.8363742
http://hdl.handle.net/11449/221086
identifier_str_mv Proceedings - International Symposium on Biomedical Imaging, v. 2018-April, p. 1010-1013.
1945-8452
1945-7928
10.1109/ISBI.2018.8363742
2-s2.0-85048123924
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings - International Symposium on Biomedical Imaging
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1010-1013
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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