A multi-scanner neuroimaging data harmonization using RAVEL and ComBat

A multi-scanner neuroimaging data harmonization using RAVEL and ComBat

Modern neuroimaging studies frequently combine data collected from multiple scanners and experimental conditions. Such data often contain substantial technical variability associated with image intensity scale (image intensity scales are not the same in different images) and scanner effects (images...

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Autores principales: Mahbaneh Eshaghzadeh Torbati, Davneet S. Minhas, Ghasan Ahmad, Erin E. O’Connor, John Muschelli, Charles M. Laymon, Zixi Yang, Ann D. Cohen, Howard J. Aizenstein, William E. Klunk, Bradley T. Christian, Seong Jae Hwang, Ciprian M. Crainiceanu, Dana L. Tudorascu
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
MRI
Scanner effects
Normalization
Harmonization
Alzheimer's disease
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Acceso en línea:https://doaj.org/article/186c8ae68de040a5866157a2a3e971a1
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https://doaj.org/article/186c8ae68de040a5866157a2a3e971a1

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