Quantitative assessment of structural image quality.

Volume: 169, Pages: 407 - 418
Published: Apr 1, 2018
Abstract
null null 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 head motion biases estimates of structural neuroimaging measures. However, objective measures of data quality are not available for most...
Paper Details
Title
Quantitative assessment of structural image quality.
Published Date
Apr 1, 2018
Journal
Volume
169
Pages
407 - 418
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