Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/124725
Title: A magnetic resonance image based atlas of the rabbit brain for automatic parcellation.
Author: Muñoz Moreno, Emma
Arbat-Plana, Ariadna
Batallé Bolaño, Dafnis
Soria, Guadalupe
Illa Armengol, Míriam
Prats Galino, Alberto
Eixarch Roca, Elisenda
Gratacós Solsona, Eduard
Keywords: Cervell
Anatomia
Imatges per ressonància magnètica
Models animals en la investigació
Brain
Anatomy
Magnetic resonance imaging
Animal models in research
Issue Date: 2-Jul-2013
Publisher: Public Library of Science (PLoS)
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.
Note: Reproducció del document publicat a: https://doi.org/10.1371/journal.pone.0067418
It is part of: PLoS One, 2013, vol. 8, num. 7, p. e67418
URI: http://hdl.handle.net/2445/124725
Related resource: https://doi.org/10.1371/journal.pone.0067418
ISSN: 1932-6203
Appears in Collections:Articles publicats en revistes (Cirurgia i Especialitats Medicoquirúrgiques)
Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)

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