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Abstract #3809

MRIQC: automated assessment and quality reporting of MRI scans

Oscar Esteban1, Craig Anthony Moodie1, William Triplett2, Russell Alan Poldrack1, and Krzysztof Jacek Gorgolewski1

1Department of Psychology, Stanford University, Stanford, CA, United States, 2Department of Physical Therapy, University of Florida

Assessing the quality of MRI is necessary and time-consuming. MRIQC automates the quantification extracting a number of image quality measures (IQMs), and eases the individual inspection through specialized visual reports. MRIQC supports T1w, fMRI and dMRI brain images. MRIQC is an easy to use, “plug-and-play” tool, since it is multi-platform (including desktop and high performance clusters), and BIDS- and BIDS-apps compliant. The IQMs extracted automatically will yield unbiased exclusion criteria in MRI analyses.

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