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BEaST: Brain extraction based on nonlocal segmentation technique

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BEaST: Brain extraction based on nonlocal segmentation technique

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Eskildsen, SF.; Coupé, P.; Fonov, V.; Manjón Herrera, JV.; Leung, KK.; Guizard, N.; Wassef, SN.... (2012). BEaST: Brain extraction based on nonlocal segmentation technique. NeuroImage. 59(3):2362-2373. doi:10.1016/j.neuroimage.2011.09.012

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/37052

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Title: BEaST: Brain extraction based on nonlocal segmentation technique
Author: Eskildsen, Simon F. Coupé, Pierrick Fonov, Vladimir Manjón Herrera, José Vicente Leung, Kelvin K. Guizard, Nicolas Wassef, Shafik N. Østergaard, Lasse Riis Collins, D. Louis Alzheimer's Dis Neuroimaging
UPV Unit: Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Universitat Politècnica de València. Instituto Universitario de Aplicaciones de las Tecnologías de la Información - Institut Universitari d'Aplicacions de les Tecnologies de la Informació
Issued date:
Abstract:
Brain extraction is an important step in the analysis of brain images. The variability in brain morphology and the difference in intensity characteristics due to imaging sequences make the development of a general purpose ...[+]
Subjects: Brain extraction , Skull stripping , Patch-based segmentation , Multi-resolution , MRI , BET
Copyrigths: Reserva de todos los derechos
Source:
NeuroImage. (issn: 1053-8119 )
DOI: 10.1016/j.neuroimage.2011.09.012
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.neuroimage.2011.09.012
Description: Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (www.loni.ucla.edu/ADNI).
Thanks:
Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904). ADNI is funded by the National Institute on Aging, the ...[+]
Type: Artículo

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