Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics

In this work we describe the usage of bilinear statistical models as a means of factoring the shape variability into two components attributed to inter-subject variation and to the intrinsic dynamics of the human heart. We show that it is feasible to reconstruct the shape of the heart at discrete po...

Descripción completa

Detalles Bibliográficos
Autores: Hoogendoorn, Corné, Sukno, Federico Mateo, Ordás, Sebastián, Frangi Caregnato, Alejandro
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2009
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/16683
Acceso en línea:http://hdl.handle.net/10230/16683
http://dx.doi.org/10.1007/s11263-009-0212-6
Access Level:acceso abierto
Palabra clave:Cor -- Imatges
Cor -- Ferides i lesions
Statistical shape modeling
Cardiac modeling
Cardiac dynamics
Bilinear models
Spatiotemporal decomposition
id ES_ce7ea5d17e201e2199657af1e1fe1072
oai_identifier_str oai:recercat.cat:10230/16683
network_acronym_str ES
network_name_str España
repository_id_str
spelling Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamicsHoogendoorn, CornéSukno, Federico MateoOrdás, SebastiánFrangi Caregnato, AlejandroCor -- ImatgesCor -- Ferides i lesionsStatistical shape modelingCardiac modelingCardiac dynamicsBilinear modelsSpatiotemporal decompositionIn this work we describe the usage of bilinear statistical models as a means of factoring the shape variability into two components attributed to inter-subject variation and to the intrinsic dynamics of the human heart. We show that it is feasible to reconstruct the shape of the heart at discrete points in the cardiac cycle. Provided we are given a small number of shape instances representing the same heart at/ndifferent points in the same cycle, we can use the bilinear/nmodel to establish this. Using a temporal and a spatial alignment step in the preprocessing of the shapes, around half of the reconstruction errors were on the order of the axial image resolution of 2 mm, and over 90% was within 3.5 mm. From this, we/nconclude that the dynamics were indeed separated from the/ninter-subject variability in our dataset.The work of A.F.F. was supported by the Spanish Ministry of Education and Science under a Ramon y Cajal Research Fellowship. This work was partially developed within the framework of the CENIT-CDTEAM Project funded by the Spanish CDTI-MITYC, and also partially supported by grants MEC TEC2006-03617/TCM and ISCIII FIS2004/40676.Springer201220122009info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/16683http://dx.doi.org/10.1007/s11263-009-0212-6reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésInternational Journal of Computer Vision. 2009; 85(3): 237-52© Institute of Electrical and Electronics Engineersinfo:eu-repo/semantics/openAccessoai:recercat.cat:10230/166832026-05-29T05:05:01Z
dc.title.none.fl_str_mv Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
title Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
spellingShingle Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
Hoogendoorn, Corné
Cor -- Imatges
Cor -- Ferides i lesions
Statistical shape modeling
Cardiac modeling
Cardiac dynamics
Bilinear models
Spatiotemporal decomposition
title_short Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
title_full Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
title_fullStr Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
title_full_unstemmed Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
title_sort Bilinear models for spatio-temporal point distribution analysis: application to extrapolation of left ventricular, biventricular and whole heart cardiac dynamics
dc.creator.none.fl_str_mv Hoogendoorn, Corné
Sukno, Federico Mateo
Ordás, Sebastián
Frangi Caregnato, Alejandro
author Hoogendoorn, Corné
author_facet Hoogendoorn, Corné
Sukno, Federico Mateo
Ordás, Sebastián
Frangi Caregnato, Alejandro
author_role author
author2 Sukno, Federico Mateo
Ordás, Sebastián
Frangi Caregnato, Alejandro
author2_role author
author
author
dc.subject.none.fl_str_mv Cor -- Imatges
Cor -- Ferides i lesions
Statistical shape modeling
Cardiac modeling
Cardiac dynamics
Bilinear models
Spatiotemporal decomposition
topic Cor -- Imatges
Cor -- Ferides i lesions
Statistical shape modeling
Cardiac modeling
Cardiac dynamics
Bilinear models
Spatiotemporal decomposition
description In this work we describe the usage of bilinear statistical models as a means of factoring the shape variability into two components attributed to inter-subject variation and to the intrinsic dynamics of the human heart. We show that it is feasible to reconstruct the shape of the heart at discrete points in the cardiac cycle. Provided we are given a small number of shape instances representing the same heart at/ndifferent points in the same cycle, we can use the bilinear/nmodel to establish this. Using a temporal and a spatial alignment step in the preprocessing of the shapes, around half of the reconstruction errors were on the order of the axial image resolution of 2 mm, and over 90% was within 3.5 mm. From this, we/nconclude that the dynamics were indeed separated from the/ninter-subject variability in our dataset.
publishDate 2009
dc.date.none.fl_str_mv 2009
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/16683
http://dx.doi.org/10.1007/s11263-009-0212-6
url http://hdl.handle.net/10230/16683
http://dx.doi.org/10.1007/s11263-009-0212-6
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv International Journal of Computer Vision. 2009; 85(3): 237-52
dc.rights.none.fl_str_mv © Institute of Electrical and Electronics Engineers
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © Institute of Electrical and Electronics Engineers
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419996229140480
score 15,812429

Similares en LA Referencia