NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualization

The visualization of the radiological results with more advanced techniques than the current ones, such as Augmented Reality and Virtual Reality technologies, represent a great advance for medical professionals, by eliminating their imagination capacity as an indispensable requirement for the unders...

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Detalhes bibliográficos
Autores: González Izard, Santiago, Alonso Plaza, Óscar, Sánchez Torres, Ramiro, Juanes Méndez, Juan Antonio, García-Peñalvo, Francisco J.
Tipo de documento: artigo
Estado:Versión aceptada para publicación
Data de publicação:2019
País:España
Recursos:Universidad de Salamanca (USAL)
Repositório:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/140552
Acesso em linha:http://hdl.handle.net/10366/140552
Access Level:Acceso aberto
Palavra-chave:Virtual Reality
Augmented Reality
Medical Imaging
Automatic Segmentation
1203.17 Informática
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spelling NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualizationGonzález Izard, SantiagoAlonso Plaza, ÓscarSánchez Torres, RamiroJuanes Méndez, Juan AntonioGarcía-Peñalvo, Francisco J.Virtual RealityAugmented RealityMedical ImagingAutomatic Segmentation1203.17 InformáticaThe visualization of the radiological results with more advanced techniques than the current ones, such as Augmented Reality and Virtual Reality technologies, represent a great advance for medical professionals, by eliminating their imagination capacity as an indispensable requirement for the understanding of medical images. The problem is that for its application it is necessary to segment the anatomical areas of interest, and this currently involves the intervention of the human being. The Nextmed project is presented as a complete solution that includes DICOM images import, automatic segmentation of certain anatomical structures, 3D mesh generation of the segmented area, visualization engine with Augmented Reality and Virtual Reality, all thanks to different software platforms that have been implemented and detailed, including results obtained from real patients. We will focus on the visualization platform using both Augmented and Virtual Reality technologies to allow medical professionals to work with 3d model representation of medical images in a different way taking advantage of new technologies.202020202019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttp://hdl.handle.net/10366/140552reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésAtribución-NoComercial-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1405522026-06-07T06:28:51Z
dc.title.none.fl_str_mv NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualization
title NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualization
spellingShingle NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualization
González Izard, Santiago
Virtual Reality
Augmented Reality
Medical Imaging
Automatic Segmentation
1203.17 Informática
title_short NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualization
title_full NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualization
title_fullStr NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualization
title_full_unstemmed NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualization
title_sort NextMed, Augmented and Virtual Reality platform for 3D medical imaging visualization
dc.creator.none.fl_str_mv González Izard, Santiago
Alonso Plaza, Óscar
Sánchez Torres, Ramiro
Juanes Méndez, Juan Antonio
García-Peñalvo, Francisco J.
author González Izard, Santiago
author_facet González Izard, Santiago
Alonso Plaza, Óscar
Sánchez Torres, Ramiro
Juanes Méndez, Juan Antonio
García-Peñalvo, Francisco J.
author_role author
author2 Alonso Plaza, Óscar
Sánchez Torres, Ramiro
Juanes Méndez, Juan Antonio
García-Peñalvo, Francisco J.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Virtual Reality
Augmented Reality
Medical Imaging
Automatic Segmentation
1203.17 Informática
topic Virtual Reality
Augmented Reality
Medical Imaging
Automatic Segmentation
1203.17 Informática
description The visualization of the radiological results with more advanced techniques than the current ones, such as Augmented Reality and Virtual Reality technologies, represent a great advance for medical professionals, by eliminating their imagination capacity as an indispensable requirement for the understanding of medical images. The problem is that for its application it is necessary to segment the anatomical areas of interest, and this currently involves the intervention of the human being. The Nextmed project is presented as a complete solution that includes DICOM images import, automatic segmentation of certain anatomical structures, 3D mesh generation of the segmented area, visualization engine with Augmented Reality and Virtual Reality, all thanks to different software platforms that have been implemented and detailed, including results obtained from real patients. We will focus on the visualization platform using both Augmented and Virtual Reality technologies to allow medical professionals to work with 3d model representation of medical images in a different way taking advantage of new technologies.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
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/10366/140552
url http://hdl.handle.net/10366/140552
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial-CompartirIgual 4.0 Internacional
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,223283

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