Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images

Autores
Casciaro, Mariano Ezequiel; Craiem, Damian
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Automatic assessment of human femur morphology may provide useful clinical information with regard to hip and knee surgery, prosthesis design and management of hip instability. To this end, neck-shaft and anteversion angles are usually used. We propose a full automatic method to estimate these angles in human femurs. Multislice CT images from 18 dried bones were analysed. The algorithm fits 3D cylinders to different regions of the bone to estimate the angles. A manual segmentation and a conventional angle assessment were used for validation. We found anteversion angle as 20 ± 7° and neck-shaft angle as 130 ± 9°. Mean distances from femur surface to cylinders were 5.5 ± 0.6, 3.5 ± 0.6 and 2.4 ± 0.4 mm for condyles, diaphysis and neck regions, respectively. Automatic and conventional angles were positively correlated (r(2)>0.85). Manual and automatic segmentations did not differ. The method was fast and 100% reproducible. A robust in vivo segmentation algorithm should be integrated to advance towards a clinically compliant methodology.
Fil: Casciaro, Mariano Ezequiel. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Craiem, Damian. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Human Femora
Anteversion
Multislice Computed Tomography
3d Cylinder
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:11336/33029
Acceder
id CONICETDig_35eb0675ad8b49b4e930926c2fc893a4
oai_identifier_str oai:ri.conicet.gov.ar:11336/33029
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT imagesCasciaro, Mariano EzequielCraiem, DamianHuman FemoraAnteversionMultislice Computed Tomography3d Cylinderhttps://purl.org/becyt/ford/2.6https://purl.org/becyt/ford/2https://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Automatic assessment of human femur morphology may provide useful clinical information with regard to hip and knee surgery, prosthesis design and management of hip instability. To this end, neck-shaft and anteversion angles are usually used. We propose a full automatic method to estimate these angles in human femurs. Multislice CT images from 18 dried bones were analysed. The algorithm fits 3D cylinders to different regions of the bone to estimate the angles. A manual segmentation and a conventional angle assessment were used for validation. We found anteversion angle as 20 ± 7° and neck-shaft angle as 130 ± 9°. Mean distances from femur surface to cylinders were 5.5 ± 0.6, 3.5 ± 0.6 and 2.4 ± 0.4 mm for condyles, diaphysis and neck regions, respectively. Automatic and conventional angles were positively correlated (r(2)>0.85). Manual and automatic segmentations did not differ. The method was fast and 100% reproducible. A robust in vivo segmentation algorithm should be integrated to advance towards a clinically compliant methodology.Fil: Casciaro, Mariano Ezequiel. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Craiem, Damian. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaTaylor & Francis2014-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/33029Casciaro, Mariano Ezequiel; Craiem, Damian; Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images; Taylor & Francis; Computer Methods In Biomechanics And Biomedical Engineering; 17; 2; 3-2014; 128-1361025-5842CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/10255842.2012.672561info:eu-repo/semantics/altIdentifier/doi/10.1080/10255842.2012.672561info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:51:19Zoai:ri.conicet.gov.ar:11336/33029instacron: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 09:51:20.094CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images
title Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images
spellingShingle Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images
Casciaro, Mariano Ezequiel
Human Femora
Anteversion
Multislice Computed Tomography
3d Cylinder
title_short Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images
title_full Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images
title_fullStr Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images
title_full_unstemmed Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images
title_sort Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images
dc.creator.none.fl_str_mv Casciaro, Mariano Ezequiel
Craiem, Damian
author Casciaro, Mariano Ezequiel
author_facet Casciaro, Mariano Ezequiel
Craiem, Damian
author_role author
author2 Craiem, Damian
author2_role author
dc.subject.none.fl_str_mv Human Femora
Anteversion
Multislice Computed Tomography
3d Cylinder
topic Human Femora
Anteversion
Multislice Computed Tomography
3d Cylinder
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.6
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/3.2
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Automatic assessment of human femur morphology may provide useful clinical information with regard to hip and knee surgery, prosthesis design and management of hip instability. To this end, neck-shaft and anteversion angles are usually used. We propose a full automatic method to estimate these angles in human femurs. Multislice CT images from 18 dried bones were analysed. The algorithm fits 3D cylinders to different regions of the bone to estimate the angles. A manual segmentation and a conventional angle assessment were used for validation. We found anteversion angle as 20 ± 7° and neck-shaft angle as 130 ± 9°. Mean distances from femur surface to cylinders were 5.5 ± 0.6, 3.5 ± 0.6 and 2.4 ± 0.4 mm for condyles, diaphysis and neck regions, respectively. Automatic and conventional angles were positively correlated (r(2)>0.85). Manual and automatic segmentations did not differ. The method was fast and 100% reproducible. A robust in vivo segmentation algorithm should be integrated to advance towards a clinically compliant methodology.
Fil: Casciaro, Mariano Ezequiel. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Craiem, Damian. Universidad Favaloro; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Automatic assessment of human femur morphology may provide useful clinical information with regard to hip and knee surgery, prosthesis design and management of hip instability. To this end, neck-shaft and anteversion angles are usually used. We propose a full automatic method to estimate these angles in human femurs. Multislice CT images from 18 dried bones were analysed. The algorithm fits 3D cylinders to different regions of the bone to estimate the angles. A manual segmentation and a conventional angle assessment were used for validation. We found anteversion angle as 20 ± 7° and neck-shaft angle as 130 ± 9°. Mean distances from femur surface to cylinders were 5.5 ± 0.6, 3.5 ± 0.6 and 2.4 ± 0.4 mm for condyles, diaphysis and neck regions, respectively. Automatic and conventional angles were positively correlated (r(2)>0.85). Manual and automatic segmentations did not differ. The method was fast and 100% reproducible. A robust in vivo segmentation algorithm should be integrated to advance towards a clinically compliant methodology.
publishDate 2014
dc.date.none.fl_str_mv 2014-03
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/11336/33029
Casciaro, Mariano Ezequiel; Craiem, Damian; Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images; Taylor & Francis; Computer Methods In Biomechanics And Biomedical Engineering; 17; 2; 3-2014; 128-136
1025-5842
CONICET Digital
CONICET
url http://hdl.handle.net/11336/33029
identifier_str_mv Casciaro, Mariano Ezequiel; Craiem, Damian; Towards automatic measurement of anteversion and neck-shaft angles in human femurs using CT images; Taylor & Francis; Computer Methods In Biomechanics And Biomedical Engineering; 17; 2; 3-2014; 128-136
1025-5842
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.tandfonline.com/doi/abs/10.1080/10255842.2012.672561
info:eu-repo/semantics/altIdentifier/doi/10.1080/10255842.2012.672561
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
application/pdf
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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_ 1842269089015267328
score 13.13397

Publicaciones similares