Preprint
Visual QC Protocol for FreeSurfer Cortical Parcellations from Anatomical MRI
Abstract
Abstract Quality control of morphometric neuroimaging data is essential to improve reproducibility. Owing to the complexity of neuroimaging data and subsequently the interpretation of their results, visual inspection by trained raters is the most reliable way to perform quality control. Here, we present a protocol for visual quality control of the anatomical accuracy of FreeSurfer parcellations, based on an easy-to-use open source tool called …
Authors
Raamana PR; Theyers A; Selliah T; Bhati P; Arnott SR; Hassel S; Nanayakkara ND; Scott CJM; Harris J; Zamyadi M
DOI
10.1101/2020.09.07.286807
Preprint server
bioRxiv