Automated Quality Assessment of Structural Magnetic Resonance Brain Images Based on a Supervised Machine Learning Algorithm

High-resolution three-dimensional magnetic resonance imaging (3D-MRI) is being increasingly used to delineate morphological changes underlying neuropsychiatric disorders. Unfortunately, artifacts frequently compromise the utility of 3D-MRI yielding irreproducible results, from both type I and type I...

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Détails bibliographiques
Publié dans:Front Neuroinform
Auteurs principaux: Pizarro, Ricardo A., Cheng, Xi, Barnett, Alan, Lemaitre, Herve, Verchinski, Beth A., Goldman, Aaron L., Xiao, Ena, Luo, Qian, Berman, Karen F., Callicott, Joseph H., Weinberger, Daniel R., Mattay, Venkata S.
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2016
Sujets:
Neuroscience
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5165041/
https://ncbi.nlm.nih.gov/pubmed/28066227
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2016.00052
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