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FreeSurfer 7 quality control: Key problem areas and importance of manual corrections.
Vahermaa, Vesa; Aydogan, Dogu Baran; Raij, Tuukka; Armio, Reetta-Liina; Laurikainen, Heikki; Saramäki, Jari; Suvisaari, Jaana.
Afiliação
  • Vahermaa V; Department of Computer Science, Aalto School of Science, Aalto University, Finland; Mental Health Unit, Finnish Institute for Health and Welfare, Finland. Electronic address: vesa.vahermaa@thl.fi.
  • Aydogan DB; A.I. Virtanen Institute for Molecular Science, University of Eastern Finland, Kuopio, Finland; Department of Neuroscience and Biomedical Engineering, Aalto School of Science, Espoo, Finland.
  • Raij T; Department of Neuroscience and Biomedical Engineering, Aalto School of Science, Espoo, Finland; University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
  • Armio RL; Department of Psychiatry, University of Turku, Finland.
  • Laurikainen H; Department of Psychiatry, University of Turku, Finland.
  • Saramäki J; Department of Computer Science, Aalto School of Science, Aalto University, Finland.
  • Suvisaari J; Mental Health Unit, Finnish Institute for Health and Welfare, Finland.
Neuroimage ; 279: 120306, 2023 10 01.
Article em En | MEDLINE | ID: mdl-37541458
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Substância Cinzenta / Substância Branca Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Substância Cinzenta / Substância Branca Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article