Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical prior

Better understanding of the anatomical variability of the human cochlear is important for the design and function of Cochlear Implants. Proper non-rigid alignment of high-resolution cochlear μCT data is a challenge for the typical cubic B-spline registration model. In this paper we study one way of...

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Detalles Bibliográficos
Autores: Kjer, Hans Martin, Fagertun, Jens, Vera, Sergio, Gil, Debora, González Ballester, Miguel Ángel, 1973-, Paulsen, Rasmus R.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/59141
Acceso en línea:http://hdl.handle.net/10230/59141
http://dx.doi.org/10.1016/j.patrec.2015.07.017
Access Level:acceso abierto
Palabra clave:Image registration
Regularization
Skeleton
Cochlea
Inner ear
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spelling Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical priorKjer, Hans MartinFagertun, JensVera, SergioGil, DeboraGonzález Ballester, Miguel Ángel, 1973-Paulsen, Rasmus R.Image registrationRegularizationSkeletonCochleaInner earBetter understanding of the anatomical variability of the human cochlear is important for the design and function of Cochlear Implants. Proper non-rigid alignment of high-resolution cochlear μCT data is a challenge for the typical cubic B-spline registration model. In this paper we study one way of incorporating skeleton-based similarity as an anatomical registration prior. We extract a centerline skeleton of the cochlear spiral, and generate corresponding parametric pseudo-landmarks between samples. These correspondences are included in the cost function of a typical cubic B-spline registration model to provide a more global guidance of the alignment. The resulting registrations are evaluated using different metrics for accuracy and model behavior, and compared toThe research leading to HEAR-EU results has received funding from the European Union Seventh Frame Programme (FP7/2007-2013) under grant agreement n 304857. Debora Gil is a Serra Húnter fellow and supported by Spanish Government Project TIN2012-33116.Elsevier202420242016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/59141http://dx.doi.org/10.1016/j.patrec.2015.07.017reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésinfo:eu-repo/grantAgreement/EC/FP7/304857info:eu-repo/grantAgreement/ES/3PN/TIN2012-33116© 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/591412026-06-12T07:21:37Z
dc.title.none.fl_str_mv Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical prior
title Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical prior
spellingShingle Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical prior
Kjer, Hans Martin
Image registration
Regularization
Skeleton
Cochlea
Inner ear
title_short Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical prior
title_full Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical prior
title_fullStr Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical prior
title_full_unstemmed Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical prior
title_sort Free-form image registration of human cochlear μ CT data using skeleton similarity as anatomical prior
dc.creator.none.fl_str_mv Kjer, Hans Martin
Fagertun, Jens
Vera, Sergio
Gil, Debora
González Ballester, Miguel Ángel, 1973-
Paulsen, Rasmus R.
author Kjer, Hans Martin
author_facet Kjer, Hans Martin
Fagertun, Jens
Vera, Sergio
Gil, Debora
González Ballester, Miguel Ángel, 1973-
Paulsen, Rasmus R.
author_role author
author2 Fagertun, Jens
Vera, Sergio
Gil, Debora
González Ballester, Miguel Ángel, 1973-
Paulsen, Rasmus R.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Image registration
Regularization
Skeleton
Cochlea
Inner ear
topic Image registration
Regularization
Skeleton
Cochlea
Inner ear
description Better understanding of the anatomical variability of the human cochlear is important for the design and function of Cochlear Implants. Proper non-rigid alignment of high-resolution cochlear μCT data is a challenge for the typical cubic B-spline registration model. In this paper we study one way of incorporating skeleton-based similarity as an anatomical registration prior. We extract a centerline skeleton of the cochlear spiral, and generate corresponding parametric pseudo-landmarks between samples. These correspondences are included in the cost function of a typical cubic B-spline registration model to provide a more global guidance of the alignment. The resulting registrations are evaluated using different metrics for accuracy and model behavior, and compared to
publishDate 2016
dc.date.none.fl_str_mv 2016
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/59141
http://dx.doi.org/10.1016/j.patrec.2015.07.017
url http://hdl.handle.net/10230/59141
http://dx.doi.org/10.1016/j.patrec.2015.07.017
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/EC/FP7/304857
info:eu-repo/grantAgreement/ES/3PN/TIN2012-33116
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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