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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Bibliographic Details
Published in:Front Neuroinform
Main Authors: 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
Language:Inglês
Published: Frontiers Media S.A. 2016
Subjects:
Neuroscience
Online Access: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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