Renal DCE-MRI Model Selection Using Bayesian Probability Theory

The goal of this work was to demonstrate the utility of Bayesian probability theory-based model selection for choosing the optimal mathematical model from among 4 competing models of renal dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data. DCE-MRI data were collected on 21 mice wit...

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Detalles Bibliográficos
Autores principales: Beeman, Scott C., Osei-Owusu, Patrick, Duan, Chong, Engelbach, John, Bretthorst, G. Larry, Ackerman, Joseph J. H., Blumer, Kendall J., Garbow, Joel R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Grapho Publications, LLC 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024409/
https://www.ncbi.nlm.nih.gov/pubmed/30042955
http://dx.doi.org/10.18383/j.tom.2015.00133

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024409/
https://www.ncbi.nlm.nih.gov/pubmed/30042955
http://dx.doi.org/10.18383/j.tom.2015.00133

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