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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5165041/
https://www.ncbi.nlm.nih.gov/pubmed/28066227
http://dx.doi.org/10.3389/fninf.2016.00052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5165041/
https://www.ncbi.nlm.nih.gov/pubmed/28066227
http://dx.doi.org/10.3389/fninf.2016.00052

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