Article

Quality assessment and control of unprocessed anatomical, functional, and diffusion MRI of the human brain using MRIQC

2024-10-22

Abstract excerpt

Quality control of MRI data prior to preprocessing is fundamental, as substandard data are known to increase variability spuriously. Currently, no automated or manual method reliably identifies subpar images, given pre-specified exclusion criteria. In this work, we propose a protocol describing how to carry out the visual assessment of T1-weighted, T2-weighted, functional, and diffusion MRI scans of the human brai...

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Identifiers and source

Literature Corpus work: 37c3a555-1f9f-57ef-aaeb-6941971064cf
DOI: 10.1101/2024.10.21.619532

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