Quantitative assessment of structural image quality

Data quality is increasingly recognized as one of the most important confounding factors in brain imaging research. It is particularly important for studies of brain development, where age is systematically related to in-scanner motion and data quality. Prior work has demonstrated that in-scanner he...

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Vydané v:	NeuroImage (Orlando, Fla.) Ročník 169; s. 407 - 418
Hlavní autori:	Rosen, Adon F.G., Roalf, David R., Ruparel, Kosha, Blake, Jason, Seelaus, Kevin, Villa, Lakshmi P., Ciric, Rastko, Cook, Philip A., Davatzikos, Christos, Elliott, Mark A., Garcia de La Garza, Angel, Gennatas, Efstathios D., Quarmley, Megan, Schmitt, J. Eric, Shinohara, Russell T., Tisdall, M. Dylan, Craddock, R. Cameron, Gur, Raquel E., Gur, Ruben C., Satterthwaite, Theodore D.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 01.04.2018 Elsevier Limited
Predmet:	Adolescent Adolescents Adult Age Alzheimer's disease Bias Brain research Cerebral Cortex - diagnostic imaging Cohort Studies Cortex Data Accuracy Datasets as Topic Development Humans Magnetic Resonance Imaging - standards Medical imaging Motion MRI Neuroimaging Neuroimaging - standards Quality assurance Quality Control Scanners Structural imaging Studies Development Motion MRI T1 Structural imaging Artifact
ISSN:	1053-8119, 1095-9572, 1095-9572
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