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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