Accuracy and Reliability of Automated Gray Matter Segmentation Pathways on Real and Simulated Structural Magnetic Resonance Images of the Human Brain

Automated gray matter segmentation of magnetic resonance imaging data is essential for morphometric analyses of the brain, particularly when large sample sizes are investigated. However, although detection of small structural brain differences may fundamentally depend on the method used, both accura...

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Detalles Bibliográficos
Autores principales: Eggert, Lucas D., Sommer, Jens, Jansen, Andreas, Kircher, Tilo, Konrad, Carsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3445568/
https://www.ncbi.nlm.nih.gov/pubmed/23028771
http://dx.doi.org/10.1371/journal.pone.0045081

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3445568/
https://www.ncbi.nlm.nih.gov/pubmed/23028771
http://dx.doi.org/10.1371/journal.pone.0045081

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