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

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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Bibliographic Details
Main Authors: Donatas Sederevičius, Didac Vidal-Piñeiro, Øystein Sørensen, Koen van Leemput, Juan Eugenio Iglesias, Adrian V. Dalca, Douglas N. Greve, Bruce Fischl, Atle Bjørnerud, Kristine B. Walhovd, Anders M. Fjell
Format: Article
Language:English
Published: Elsevier 2021-08-01
Series:NeuroImage
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921003906

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http://www.sciencedirect.com/science/article/pii/S1053811921003906

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