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, Tung Nguyen, Boen, Celso [UNESP], Goncalves, Joao [UNESP], Gerig, Guido, Paniagua, Beatriz, IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/184225
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 registrationstatistical shape modelingstatistical shape analysisorthognathic surgeryStatistical 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.NIH NIBIBNew York Center for Advanced Technology in Telecommunications (CATT)NYU, Tandon Sch Engn, New York, NY 10003 USAKitware Inc, New York, NY USAUNC, Sch Dent, Chapel Hill, NC USAUniv Estadual Paulista, Sao Paulo, BrazilUniv Estadual Paulista, Sao Paulo, BrazilNIH NIBIB: R01EB021391IeeeNYUKitware IncUNCUniversidade Estadual Paulista (Unesp)Fishbaugh, JamesPascal, LauraFischer, LukeTung NguyenBoen, Celso [UNESP]Goncalves, Joao [UNESP]Gerig, GuidoPaniagua, BeatrizIEEE2019-10-04T11:55:59Z2019-10-04T11:55:59Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1010-10132018 Ieee 15th International Symposium On Biomedical Imaging (isbi 2018). New York: Ieee, p. 1010-1013, 2018.1945-7928http://hdl.handle.net/11449/184225WOS:000455045600231Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2018 Ieee 15th International Symposium On Biomedical Imaging (isbi 2018)info:eu-repo/semantics/openAccess2021-10-22T19:11:01Zoai:repositorio.unesp.br:11449/184225Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:39:09.757554Repositório 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
statistical shape modeling
statistical shape analysis
orthognathic surgery
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
Tung Nguyen
Boen, Celso [UNESP]
Goncalves, Joao [UNESP]
Gerig, Guido
Paniagua, Beatriz
IEEE
author_role author
author2 Pascal, Laura
Fischer, Luke
Tung Nguyen
Boen, Celso [UNESP]
Goncalves, Joao [UNESP]
Gerig, Guido
Paniagua, Beatriz
IEEE
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv NYU
Kitware Inc
UNC
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Fishbaugh, James
Pascal, Laura
Fischer, Luke
Tung Nguyen
Boen, Celso [UNESP]
Goncalves, Joao [UNESP]
Gerig, Guido
Paniagua, Beatriz
IEEE
dc.subject.por.fl_str_mv Complex topology
diffeomorphic shape registration
statistical shape modeling
statistical shape analysis
orthognathic surgery
topic Complex topology
diffeomorphic shape registration
statistical shape modeling
statistical shape analysis
orthognathic surgery
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 2018-01-01
2019-10-04T11:55:59Z
2019-10-04T11:55:59Z
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 2018 Ieee 15th International Symposium On Biomedical Imaging (isbi 2018). New York: Ieee, p. 1010-1013, 2018.
1945-7928
http://hdl.handle.net/11449/184225
WOS:000455045600231
identifier_str_mv 2018 Ieee 15th International Symposium On Biomedical Imaging (isbi 2018). New York: Ieee, p. 1010-1013, 2018.
1945-7928
WOS:000455045600231
url http://hdl.handle.net/11449/184225
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2018 Ieee 15th International Symposium On Biomedical Imaging (isbi 2018)
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.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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
_version_ 1808129344557547520

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