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Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/124725
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dc.contributor.authorMuñoz-Moreno, Emma-
dc.contributor.authorArbat-Plana, Ariadna-
dc.contributor.authorBatallé Bolaño, Dafnis-
dc.contributor.authorSoria, Guadalupe-
dc.contributor.authorIlla Armengol, Míriam-
dc.contributor.authorPrats Galino, Alberto-
dc.contributor.authorEixarch Roca, Elisenda-
dc.contributor.authorGratacós Solsona, Eduard-
dc.date.accessioned2018-09-20T14:42:48Z-
dc.date.available2018-09-20T14:42:48Z-
dc.date.issued2013-07-02-
dc.identifier.issn1932-6203-
dc.identifier.urihttp://hdl.handle.net/2445/124725-
dc.description.abstractRabbit brain has been used in several works for the analysis of neurodevelopment. However, there are not specific digital rabbit brain atlases that allow an automatic identification of brain regions, which is a crucial step for various neuroimage analyses, and, instead, manual delineation of areas of interest must be performed in order to evaluate a specific structure. For this reason, we propose an atlas of the rabbit brain based on magnetic resonance imaging, including both structural and diffusion weighted, that can be used for the automatic parcellation of the rabbit brain. Ten individual atlases, as well as an average template and probabilistic maps of the anatomical regions were built. In addition, an example of automatic segmentation based on this atlas is described.-
dc.format.extent13 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherPublic Library of Science (PLoS)-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1371/journal.pone.0067418-
dc.relation.ispartofPLoS One, 2013, vol. 8, num. 7, p. e67418-
dc.relation.urihttps://doi.org/10.1371/journal.pone.0067418-
dc.rightscc-by (c) Muñoz Moreno, Emma et al., 2013-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es-
dc.sourceArticles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques)-
dc.subject.classificationCervell-
dc.subject.classificationAnatomia-
dc.subject.classificationImatges per ressonància magnètica-
dc.subject.classificationModels animals en la investigació-
dc.subject.otherBrain-
dc.subject.otherAnatomy-
dc.subject.otherMagnetic resonance imaging-
dc.subject.otherAnimal models in research-
dc.titleA magnetic resonance image based atlas of the rabbit brain for automatic parcellation.-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.identifier.idgrec635901-
dc.date.updated2018-09-20T14:42:48Z-
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/217911/EU//UVOLUMES-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.pmid23844007-
Appears in Collections:Articles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques)
Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Publicacions de projectes de recerca finançats per la UE
Articles publicats en revistes (BCNatal Fetal Medicine Research Center)

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