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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oai:doaj.org-article:b278a61de7154aed996a4268bd78614a2021-11-18T07:39:09ZA magnetic resonance image based atlas of the rabbit brain for automatic parcellation.1932-620310.1371/journal.pone.0067418https://doaj.org/article/b278a61de7154aed996a4268bd78614a2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23844007/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Rabbit 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.Emma Muñoz-MorenoAriadna Arbat-PlanaDafnis BatalleGuadalupe SoriaMiriam IllaAlberto Prats-GalinoElisenda EixarchEduard GratacosPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 7, p e67418 (2013) |
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Medicine R Science Q 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. |
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. |
format |
article |
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 |
title |
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_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_sort |
magnetic resonance image based atlas of the rabbit brain for automatic parcellation. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2013 |
url |
https://doaj.org/article/b278a61de7154aed996a4268bd78614a |
work_keys_str_mv |
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