Quality control strategies for brain MRI segmentation and parcellation: Practical approaches and recommendations - insights from the Maastricht study

Quality control strategies for brain MRI segmentation and parcellation: Practical approaches and recommendations - insights from the Maastricht study

Quality control of brain segmentation is a fundamental step to ensure data quality. Manual quality control strategies are the current gold standard, although these may be unfeasible for large neuroimaging samples. Several options for automated quality control have been proposed, providing potential...

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Bibliographic Details
Main Authors: Jennifer Monereo-Sánchez, Joost J.A. de Jong, Gerhard S. Drenthen, Magdalena Beran, Walter H. Backes, Coen D.A. Stehouwer, Miranda T. Schram, David E.J. Linden, Jacobus F.A. Jansen
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:NeuroImage
Subjects:
Brain segmentation
Cortical parcellation
FreeSurfer
Quality control
Manual editing
Outlier exclusion
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921004511

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http://www.sciencedirect.com/science/article/pii/S1053811921004511

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