Published in
Public Library of Science, PLoS ONE, 7(8), p. e67418, 2013
DOI: 10.1371/journal.pone.0067418
Links
- ORCID
- ORCID
- Public Library of Science
- [www.ncbi.nlm.nih.gov] | PDF
- [diposit.ub.edu] | PDF
- [europepmc.org] | PDF
- [www.researchgate.net] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
Tools
A Magnetic Resonance Image Based Atlas of the Rabbit Brain for Automatic Parcellation
,
Guadalupe Soria,
Miriam Illa,
Alberto Prats-Galino ,
Elisenda Eixarch,
Eduard Gratacos
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Abstract
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.