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FreeSurfer 7 quality control: Key problem areas and importance of manual corrections

Authors :
Vesa Vahermaa
Dogu Baran Aydogan
Tuukka Raij
Reetta-Liina Armio
Heikki Laurikainen
Jari Saramäki
Jaana Suvisaari
Source :
NeuroImage, Vol 279, Iss , Pp 120306- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

We have studied the effects of manual quality control of brain Magnetic Resonance Imaging (MRI) images processed with Freesurfer. T1 images of first episode psychosis patients (N = 60) and healthy controls (N = 41) were inspected for gray matter boundary errors. The errors were fixed, and the effects of error correction on brain volume, thickness, and surface area were measured.It is commonplace to apply quality control to Freesurfer MRI recordings to ensure that the edges of gray and white matter are detected properly, as incorrect edge detection leads to changes in variables such as volume, cortical thickness, and cortical surface area. We find that while Freesurfer v7.1.1. does regularly make mistakes in identifying the edges of cortical gray matter, correcting these errors yields limited changes in the commonly measured variables listed above. We further find that the software makes fewer gray matter boundary errors when processing female brains.The results suggest that manually correcting gray matter boundary errors may not be worthwhile due to its small effect on the measurements, with potential exceptions for studies that focus on the areas that are more commonly affected by errors: the areas around the cerebellar tentorium, paracentral lobule, and the optic nerves, specifically the horizontal segment of the middle cerebral artery.

Details

Language :
English
ISSN :
10959572
Volume :
279
Issue :
120306-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.8759a1213b24c34a0257c7f78f81052
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2023.120306