Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer – ASEG and SAMSEG

Accurate and reliable whole-brain segmentation is critical to longitudinal neuroimaging studies. We undertake a comparative analysis of two subcortical segmentation methods, Automatic Segmentation (ASEG) and Sequence Adaptive Multimodal Segmentation (SAMSEG), recently provided in the open-source neu...

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Detalles Bibliográficos
Autores principales: Sederevičius, Donatas, Vidal-Piñeiro, Didac, Sørensen, Øystein, van Leemput, Koen, Iglesias, Juan Eugenio, Dalca, Adrian V., Greve, Douglas N., Fischl, Bruce, Bjørnerud, Atle, Walhovd, Kristine B., Fjell, Anders M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052126/
https://www.ncbi.nlm.nih.gov/pubmed/33940143
http://dx.doi.org/10.1016/j.neuroimage.2021.118113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9052126/
https://www.ncbi.nlm.nih.gov/pubmed/33940143
http://dx.doi.org/10.1016/j.neuroimage.2021.118113

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