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Bayesian modeling of Dynamic Contrast Enhanced MRI data in cerebral glioma patients improves the diagnostic quality of hemodynamic parameter maps
PURPOSE: The purpose of this work is to investigate if the curve-fitting algorithm in Dynamic Contrast Enhanced (DCE) MRI experiments influences the diagnostic quality of calculated parameter maps. MATERIAL AND METHODS: We compared the Levenberg-Marquardt (LM) and a Bayesian method (BM) in DCE data...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6157834/ https://ncbi.nlm.nih.gov/pubmed/30256797 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0202906 |
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