A magnetic resonance image based atlas of the rabbit brain for automatic parcellation.

Rabbit 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 o...

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Main Authors: Emma Muñoz-Moreno, Ariadna Arbat-Plana, Dafnis Batalle, Guadalupe Soria, Miriam Illa, Alberto Prats-Galino, Elisenda Eixarch, Eduard Gratacos
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23844007/pdf/?tool=EBI
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author Emma Muñoz-Moreno
Ariadna Arbat-Plana
Dafnis Batalle
Guadalupe Soria
Miriam Illa
Alberto Prats-Galino
Elisenda Eixarch
Eduard Gratacos
author_facet Emma Muñoz-Moreno
Ariadna Arbat-Plana
Dafnis Batalle
Guadalupe Soria
Miriam Illa
Alberto Prats-Galino
Elisenda Eixarch
Eduard Gratacos
author_sort Emma Muñoz-Moreno
collection DOAJ
description Rabbit 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.
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spelling doaj.art-b278a61de7154aed996a4268bd78614a2022-12-21T21:43:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0187e6741810.1371/journal.pone.0067418A magnetic resonance image based atlas of the rabbit brain for automatic parcellation.Emma Muñoz-MorenoAriadna Arbat-PlanaDafnis BatalleGuadalupe SoriaMiriam IllaAlberto Prats-GalinoElisenda EixarchEduard GratacosRabbit 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.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23844007/pdf/?tool=EBI
spellingShingle Emma Muñoz-Moreno
Ariadna Arbat-Plana
Dafnis Batalle
Guadalupe Soria
Miriam Illa
Alberto Prats-Galino
Elisenda Eixarch
Eduard Gratacos
A magnetic resonance image based atlas of the rabbit brain for automatic parcellation.
PLoS ONE
title A magnetic resonance image based atlas of the rabbit brain for automatic parcellation.
title_full A magnetic resonance image based atlas of the rabbit brain for automatic parcellation.
title_fullStr A magnetic resonance image based atlas of the rabbit brain for automatic parcellation.
title_full_unstemmed A magnetic resonance image based atlas of the rabbit brain for automatic parcellation.
title_short A magnetic resonance image based atlas of the rabbit brain for automatic parcellation.
title_sort magnetic resonance image based atlas of the rabbit brain for automatic parcellation
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23844007/pdf/?tool=EBI
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