Trimmed-likelihood estimation for focal lesions and tissue segmentation in multisequence MRI for multiple sclerosis.

We present a new automatic method for segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The method performs tissue classification using a model of intensities of the normal appearing brain tissues. In order to estimate the model, a trimmed likelihood estimator is initiali...

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Main Authors: García-Lorenzo, Daniel, Prima, Sylvain, Arnold, Douglas L., Collins, Louis D., Barillot, Christian
Formato: Artigo
Idioma:Inglês
Publicado: Institute of Electrical and Electronics Engineers 2011
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC3326634/
https://ncbi.nlm.nih.gov/pubmed/21324773
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2011.2114671
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