vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis

Automatic and reliable quantitative tools for MR brain image analysis are a very valuable resource for both clinical and research environments. In the past few years, this field has experienced many advances with successful techniques based on label fusion and more recently deep learning. However, f...

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Detalles Bibliográficos
Autores: Manjón JV, Romero JE, Vivo-Hernando R, Rubio G, Aparici F, de la Iglesia-Vaya M, Coupé P
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
Repositorio:r-FISABIO. Repositorio Institucional de Producción Científica
OAI Identifier:oai:fisabio.fundanetsuite.com:p13752
Acceso en línea:https://fisabio.portalinvestigacion.com/publicaciones/13752
Access Level:acceso abierto
Palabra clave:segmentation
brain
analysis
MRI
cloud
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repository_id_str
spelling vol2Brain: A New Online Pipeline for Whole Brain MRI AnalysisManjón JVRomero JEVivo-Hernando RRubio GAparici Fde la Iglesia-Vaya MCoupé PsegmentationbrainanalysisMRIcloudAutomatic and reliable quantitative tools for MR brain image analysis are a very valuable resource for both clinical and research environments. In the past few years, this field has experienced many advances with successful techniques based on label fusion and more recently deep learning. However, few of them have been specifically designed to provide a dense anatomical labeling at the multiscale level and to deal with brain anatomical alterations such as white matter lesions (WML). In this work, we present a fully automatic pipeline (vol2Brain) for whole brain segmentation and analysis, which densely labels (N > 100) the brain while being robust to the presence of WML. This new pipeline is an evolution of our previous volBrain pipeline that extends significantly the number of regions that can be analyzed. Our proposed method is based on a fast and multiscale multi-atlas label fusion technology with systematic error correction able to provide accurate volumetric information in a few minutes. We have deployed our new pipeline within our platform volBrain (), which has been already demonstrated to be an efficient and effective way to share our technology with the users worldwide.FRONTIERS MEDIA SA2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fisabio.portalinvestigacion.com/publicaciones/13752Frontiers in NeuroinformaticsISSN: 16625196reponame:r-FISABIO. Repositorio Institucional de Producción Científicainstname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)Inglésinfo:eu-repo/semantics/openAccessoai:fisabio.fundanetsuite.com:p137522026-06-11T12:45:17Z
dc.title.none.fl_str_mv vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis
title vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis
spellingShingle vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis
Manjón JV
segmentation
brain
analysis
MRI
cloud
title_short vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis
title_full vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis
title_fullStr vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis
title_full_unstemmed vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis
title_sort vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis
dc.creator.none.fl_str_mv Manjón JV
Romero JE
Vivo-Hernando R
Rubio G
Aparici F
de la Iglesia-Vaya M
Coupé P
author Manjón JV
author_facet Manjón JV
Romero JE
Vivo-Hernando R
Rubio G
Aparici F
de la Iglesia-Vaya M
Coupé P
author_role author
author2 Romero JE
Vivo-Hernando R
Rubio G
Aparici F
de la Iglesia-Vaya M
Coupé P
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv segmentation
brain
analysis
MRI
cloud
topic segmentation
brain
analysis
MRI
cloud
description Automatic and reliable quantitative tools for MR brain image analysis are a very valuable resource for both clinical and research environments. In the past few years, this field has experienced many advances with successful techniques based on label fusion and more recently deep learning. However, few of them have been specifically designed to provide a dense anatomical labeling at the multiscale level and to deal with brain anatomical alterations such as white matter lesions (WML). In this work, we present a fully automatic pipeline (vol2Brain) for whole brain segmentation and analysis, which densely labels (N > 100) the brain while being robust to the presence of WML. This new pipeline is an evolution of our previous volBrain pipeline that extends significantly the number of regions that can be analyzed. Our proposed method is based on a fast and multiscale multi-atlas label fusion technology with systematic error correction able to provide accurate volumetric information in a few minutes. We have deployed our new pipeline within our platform volBrain (), which has been already demonstrated to be an efficient and effective way to share our technology with the users worldwide.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fisabio.portalinvestigacion.com/publicaciones/13752
url https://fisabio.portalinvestigacion.com/publicaciones/13752
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv FRONTIERS MEDIA SA
publisher.none.fl_str_mv FRONTIERS MEDIA SA
dc.source.none.fl_str_mv Frontiers in Neuroinformatics
ISSN: 16625196
reponame:r-FISABIO. Repositorio Institucional de Producción Científica
instname:Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
instname_str Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana (FISABIO)
reponame_str r-FISABIO. Repositorio Institucional de Producción Científica
collection r-FISABIO. Repositorio Institucional de Producción Científica
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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