Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation

Autores
Bhalodiya, Jayendra M.; Palit, Arnab; Ferrante, Enzo; Tiwari, Manoj K.; Bhudia, Sunil K.; Arvanitis, Theodoros N.; Williams, Mark A.
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Myocardial tracking and strain estimation can non-invasively assess cardiac functioning using subject-specific MRI. As the left-ventricle does not have a uniform shape and functioning from base to apex, the development of 3D MRI has provided opportunities for simultaneous 3D tracking, and 3D strain estimation. We have extended a Local Weighted Mean (LWM) transformation function for 3D, and incorporated in a Hierarchical Template Matching model to solve 3D myocardial tracking and strain estimation problem. The LWM does not need to solve a large system of equations, provides smooth displacement of myocardial points, and adapt local geometric differences in images. Hence, 3D myocardial tracking can be performed with 1.49 mm median error, and without large error outliers. The maximum error of tracking is up to 24% reduced compared to benchmark methods. Moreover, the estimated strain can be insightful to improve 3D imaging protocols, and the computer code of LWM could also be useful for geo-spatial and manufacturing image analysis researchers.
Fil: Bhalodiya, Jayendra M.. University of Warwick; Reino Unido
Fil: Palit, Arnab. University of Warwick; Reino Unido
Fil: Ferrante, Enzo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; Argentina
Fil: Tiwari, Manoj K.. University of Warwick; Reino Unido
Fil: Bhudia, Sunil K.. University of Warwick; Reino Unido
Fil: Arvanitis, Theodoros N.. University of Warwick; Reino Unido
Fil: Williams, Mark A.. University of Warwick; Reino Unido
Materia
HIERARCHICAL TEMPLATE MATCHING
MYOCARDIAL TRACKING
CARDIAC STRAIN ESTIMATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/108843
Acceder
id CONICETDig_91e6f5c0c6b972a21408d8423d500543
oai_identifier_str oai:ri.conicet.gov.ar:11336/108843
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain EstimationBhalodiya, Jayendra M.Palit, ArnabFerrante, EnzoTiwari, Manoj K.Bhudia, Sunil K.Arvanitis, Theodoros N.Williams, Mark A.HIERARCHICAL TEMPLATE MATCHINGMYOCARDIAL TRACKINGCARDIAC STRAIN ESTIMATIONhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Myocardial tracking and strain estimation can non-invasively assess cardiac functioning using subject-specific MRI. As the left-ventricle does not have a uniform shape and functioning from base to apex, the development of 3D MRI has provided opportunities for simultaneous 3D tracking, and 3D strain estimation. We have extended a Local Weighted Mean (LWM) transformation function for 3D, and incorporated in a Hierarchical Template Matching model to solve 3D myocardial tracking and strain estimation problem. The LWM does not need to solve a large system of equations, provides smooth displacement of myocardial points, and adapt local geometric differences in images. Hence, 3D myocardial tracking can be performed with 1.49 mm median error, and without large error outliers. The maximum error of tracking is up to 24% reduced compared to benchmark methods. Moreover, the estimated strain can be insightful to improve 3D imaging protocols, and the computer code of LWM could also be useful for geo-spatial and manufacturing image analysis researchers.Fil: Bhalodiya, Jayendra M.. University of Warwick; Reino UnidoFil: Palit, Arnab. University of Warwick; Reino UnidoFil: Ferrante, Enzo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; ArgentinaFil: Tiwari, Manoj K.. University of Warwick; Reino UnidoFil: Bhudia, Sunil K.. University of Warwick; Reino UnidoFil: Arvanitis, Theodoros N.. University of Warwick; Reino UnidoFil: Williams, Mark A.. University of Warwick; Reino UnidoNature2019-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/108843Bhalodiya, Jayendra M.; Palit, Arnab; Ferrante, Enzo; Tiwari, Manoj K.; Bhudia, Sunil K.; et al.; Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation; Nature; Scientific Reports; 9; 1; 8-2019; 1-132045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41598-019-48927-2info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-019-48927-2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:54:32Zoai:ri.conicet.gov.ar:11336/108843instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:54:32.577CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation
title Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation
spellingShingle Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation
Bhalodiya, Jayendra M.
HIERARCHICAL TEMPLATE MATCHING
MYOCARDIAL TRACKING
CARDIAC STRAIN ESTIMATION
title_short Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation
title_full Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation
title_fullStr Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation
title_full_unstemmed Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation
title_sort Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation
dc.creator.none.fl_str_mv Bhalodiya, Jayendra M.
Palit, Arnab
Ferrante, Enzo
Tiwari, Manoj K.
Bhudia, Sunil K.
Arvanitis, Theodoros N.
Williams, Mark A.
author Bhalodiya, Jayendra M.
author_facet Bhalodiya, Jayendra M.
Palit, Arnab
Ferrante, Enzo
Tiwari, Manoj K.
Bhudia, Sunil K.
Arvanitis, Theodoros N.
Williams, Mark A.
author_role author
author2 Palit, Arnab
Ferrante, Enzo
Tiwari, Manoj K.
Bhudia, Sunil K.
Arvanitis, Theodoros N.
Williams, Mark A.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv HIERARCHICAL TEMPLATE MATCHING
MYOCARDIAL TRACKING
CARDIAC STRAIN ESTIMATION
topic HIERARCHICAL TEMPLATE MATCHING
MYOCARDIAL TRACKING
CARDIAC STRAIN ESTIMATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Myocardial tracking and strain estimation can non-invasively assess cardiac functioning using subject-specific MRI. As the left-ventricle does not have a uniform shape and functioning from base to apex, the development of 3D MRI has provided opportunities for simultaneous 3D tracking, and 3D strain estimation. We have extended a Local Weighted Mean (LWM) transformation function for 3D, and incorporated in a Hierarchical Template Matching model to solve 3D myocardial tracking and strain estimation problem. The LWM does not need to solve a large system of equations, provides smooth displacement of myocardial points, and adapt local geometric differences in images. Hence, 3D myocardial tracking can be performed with 1.49 mm median error, and without large error outliers. The maximum error of tracking is up to 24% reduced compared to benchmark methods. Moreover, the estimated strain can be insightful to improve 3D imaging protocols, and the computer code of LWM could also be useful for geo-spatial and manufacturing image analysis researchers.
Fil: Bhalodiya, Jayendra M.. University of Warwick; Reino Unido
Fil: Palit, Arnab. University of Warwick; Reino Unido
Fil: Ferrante, Enzo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional. Universidad Nacional del Litoral. Facultad de Ingeniería y Ciencias Hídricas. Instituto de Investigación en Señales, Sistemas e Inteligencia Computacional; Argentina
Fil: Tiwari, Manoj K.. University of Warwick; Reino Unido
Fil: Bhudia, Sunil K.. University of Warwick; Reino Unido
Fil: Arvanitis, Theodoros N.. University of Warwick; Reino Unido
Fil: Williams, Mark A.. University of Warwick; Reino Unido
description Myocardial tracking and strain estimation can non-invasively assess cardiac functioning using subject-specific MRI. As the left-ventricle does not have a uniform shape and functioning from base to apex, the development of 3D MRI has provided opportunities for simultaneous 3D tracking, and 3D strain estimation. We have extended a Local Weighted Mean (LWM) transformation function for 3D, and incorporated in a Hierarchical Template Matching model to solve 3D myocardial tracking and strain estimation problem. The LWM does not need to solve a large system of equations, provides smooth displacement of myocardial points, and adapt local geometric differences in images. Hence, 3D myocardial tracking can be performed with 1.49 mm median error, and without large error outliers. The maximum error of tracking is up to 24% reduced compared to benchmark methods. Moreover, the estimated strain can be insightful to improve 3D imaging protocols, and the computer code of LWM could also be useful for geo-spatial and manufacturing image analysis researchers.
publishDate 2019
dc.date.none.fl_str_mv 2019-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/108843
Bhalodiya, Jayendra M.; Palit, Arnab; Ferrante, Enzo; Tiwari, Manoj K.; Bhudia, Sunil K.; et al.; Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation; Nature; Scientific Reports; 9; 1; 8-2019; 1-13
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/108843
identifier_str_mv Bhalodiya, Jayendra M.; Palit, Arnab; Ferrante, Enzo; Tiwari, Manoj K.; Bhudia, Sunil K.; et al.; Hierarchical Template Matching for 3D Myocardial Tracking and Cardiac Strain Estimation; Nature; Scientific Reports; 9; 1; 8-2019; 1-13
2045-2322
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41598-019-48927-2
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-019-48927-2
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature
publisher.none.fl_str_mv Nature
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269291089494016
score 13.13397

Publicaciones similares