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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Tomography
Päätekijät: Beeman, Scott C., Osei-Owusu, Patrick, Duan, Chong, Engelbach, John, Bretthorst, G. Larry, Ackerman, Joseph J. H., Blumer, Kendall J., Garbow, Joel R.
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Grapho Publications, LLC 2015
Aiheet:
Research Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6024409/
https://ncbi.nlm.nih.gov/pubmed/30042955
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.18383/j.tom.2015.00133
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