AUTHOR=Benhajali Yassine , Badhwar AmanPreet , Spiers Helen , Urchs Sebastian , Armoza Jonathan , Ong Thomas , Pérusse Daniel , Bellec Pierre TITLE=A Standardized Protocol for Efficient and Reliable Quality Control of Brain Registration in Functional MRI Studies JOURNAL=Frontiers in Neuroinformatics VOLUME=14 YEAR=2020 URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2020.00007 DOI=10.3389/fninf.2020.00007 ISSN=1662-5196 ABSTRACT=
Automatic alignment of brain anatomy in a standard space is a key step when processing magnetic resonance imaging for group analyses. Such brain registration is prone to failure, and the results are therefore typically reviewed visually to ensure quality. There is however no standard, validated protocol available to perform this visual quality control (QC). We propose here a standardized QC protocol for brain registration, with minimal training overhead and no required knowledge of brain anatomy. We validated the reliability of three-level QC ratings (OK, Maybe, Fail) across different raters. Nine experts each rated