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...

Full description

Saved in:

Bibliographic Details
Published in:	NeuroImage (Orlando, Fla.) Vol. 169; pp. 407 - 418
Main Authors:	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.
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 01.04.2018 Elsevier Limited
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!