Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI

Autores
López Ibarra, Marco Antonio; Braidot, Ariel Andrés Antonio
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the process of generating image based subject specific musculoskeletal models and the simulation of rescaled generic musculoskeletal models, the accurate segmentation of the anatomical structures of interest from medical images determines the efficiency of the musculoskeletal system models. Efficiency is highly influenced by the image segmentation technique used. This paper presents a semi-automatic segmentation algorithm based on the Dijkstra's shortest path algorithm for obtaining the origin and insertion points, and muscle paths from a magnetic resonance image. This algorithm significantly reduces the processing time while retaining high levels of sensitivity and specificity for the structures to be segmented. Anthropometric parameters calculated from the results obtained with the proposed algorithm are comparable to the results published by other groups of researchers. These results could be used to create an anthropometric parameters database from healthy population and with gait abnormalities that can be used in the development and simulation of rescaled generic models. In addition, the shortest path algorithm proposed in this paper could be used by the medical experts as a training algorithm of model based segmentation algorithm that may reduce processing time even more.
Fil: López Ibarra, Marco Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Braidot, Ariel Andrés Antonio. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Materia
Musculoskeletal Models
Mri
Dijkstra'S Shortest Path Algorithm
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:11336/51471
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/51471
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRILópez Ibarra, Marco AntonioBraidot, Ariel Andrés AntonioMusculoskeletal ModelsMriDijkstra'S Shortest Path Algorithmhttps://purl.org/becyt/ford/3.5https://purl.org/becyt/ford/3In the process of generating image based subject specific musculoskeletal models and the simulation of rescaled generic musculoskeletal models, the accurate segmentation of the anatomical structures of interest from medical images determines the efficiency of the musculoskeletal system models. Efficiency is highly influenced by the image segmentation technique used. This paper presents a semi-automatic segmentation algorithm based on the Dijkstra's shortest path algorithm for obtaining the origin and insertion points, and muscle paths from a magnetic resonance image. This algorithm significantly reduces the processing time while retaining high levels of sensitivity and specificity for the structures to be segmented. Anthropometric parameters calculated from the results obtained with the proposed algorithm are comparable to the results published by other groups of researchers. These results could be used to create an anthropometric parameters database from healthy population and with gait abnormalities that can be used in the development and simulation of rescaled generic models. In addition, the shortest path algorithm proposed in this paper could be used by the medical experts as a training algorithm of model based segmentation algorithm that may reduce processing time even more.Fil: López Ibarra, Marco Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaFil: Braidot, Ariel Andrés Antonio. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; ArgentinaScientific & Academic Publishing2015-03info: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/11336/51471López Ibarra, Marco Antonio; Braidot, Ariel Andrés Antonio; Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI; Scientific & Academic Publishing; American Journal of Biomedical Engineering; 5; 1; 3-2015; 15-232163-1050CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://article.sapub.org/10.5923.j.ajbe.20150501.03.htmlinfo:eu-repo/semantics/altIdentifier/doi/10.5923/j.ajbe.20150501.03info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:49:32Zoai:ri.conicet.gov.ar:11336/51471instacron: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 09:49:32.816CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI
title Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI
spellingShingle Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI
López Ibarra, Marco Antonio
Musculoskeletal Models
Mri
Dijkstra'S Shortest Path Algorithm
title_short Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI
title_full Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI
title_fullStr Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI
title_full_unstemmed Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI
title_sort Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI
dc.creator.none.fl_str_mv López Ibarra, Marco Antonio
Braidot, Ariel Andrés Antonio
author López Ibarra, Marco Antonio
author_facet López Ibarra, Marco Antonio
Braidot, Ariel Andrés Antonio
author_role author
author2 Braidot, Ariel Andrés Antonio
author2_role author
dc.subject.none.fl_str_mv Musculoskeletal Models
Mri
Dijkstra'S Shortest Path Algorithm
topic Musculoskeletal Models
Mri
Dijkstra'S Shortest Path Algorithm
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.5
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv In the process of generating image based subject specific musculoskeletal models and the simulation of rescaled generic musculoskeletal models, the accurate segmentation of the anatomical structures of interest from medical images determines the efficiency of the musculoskeletal system models. Efficiency is highly influenced by the image segmentation technique used. This paper presents a semi-automatic segmentation algorithm based on the Dijkstra's shortest path algorithm for obtaining the origin and insertion points, and muscle paths from a magnetic resonance image. This algorithm significantly reduces the processing time while retaining high levels of sensitivity and specificity for the structures to be segmented. Anthropometric parameters calculated from the results obtained with the proposed algorithm are comparable to the results published by other groups of researchers. These results could be used to create an anthropometric parameters database from healthy population and with gait abnormalities that can be used in the development and simulation of rescaled generic models. In addition, the shortest path algorithm proposed in this paper could be used by the medical experts as a training algorithm of model based segmentation algorithm that may reduce processing time even more.
Fil: López Ibarra, Marco Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
Fil: Braidot, Ariel Andrés Antonio. Universidad Nacional de Entre Ríos. Facultad de Ingeniería; Argentina
description In the process of generating image based subject specific musculoskeletal models and the simulation of rescaled generic musculoskeletal models, the accurate segmentation of the anatomical structures of interest from medical images determines the efficiency of the musculoskeletal system models. Efficiency is highly influenced by the image segmentation technique used. This paper presents a semi-automatic segmentation algorithm based on the Dijkstra's shortest path algorithm for obtaining the origin and insertion points, and muscle paths from a magnetic resonance image. This algorithm significantly reduces the processing time while retaining high levels of sensitivity and specificity for the structures to be segmented. Anthropometric parameters calculated from the results obtained with the proposed algorithm are comparable to the results published by other groups of researchers. These results could be used to create an anthropometric parameters database from healthy population and with gait abnormalities that can be used in the development and simulation of rescaled generic models. In addition, the shortest path algorithm proposed in this paper could be used by the medical experts as a training algorithm of model based segmentation algorithm that may reduce processing time even more.
publishDate 2015
dc.date.none.fl_str_mv 2015-03
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/11336/51471
López Ibarra, Marco Antonio; Braidot, Ariel Andrés Antonio; Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI; Scientific & Academic Publishing; American Journal of Biomedical Engineering; 5; 1; 3-2015; 15-23
2163-1050
CONICET Digital
CONICET
url http://hdl.handle.net/11336/51471
identifier_str_mv López Ibarra, Marco Antonio; Braidot, Ariel Andrés Antonio; Shortest Path Algorithm for Obtaining Muscular Anthropometric Data from MRI; Scientific & Academic Publishing; American Journal of Biomedical Engineering; 5; 1; 3-2015; 15-23
2163-1050
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://article.sapub.org/10.5923.j.ajbe.20150501.03.html
info:eu-repo/semantics/altIdentifier/doi/10.5923/j.ajbe.20150501.03
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 Scientific & Academic Publishing
publisher.none.fl_str_mv Scientific & Academic Publishing
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
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score 13.13397

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