Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor

Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor

Abstract Best current practice in the analysis of dynamic contrast enhanced (DCE)-MRI is to employ a voxel-by-voxel model selection from a hierarchy of nested models. This nested model selection (NMS) assumes that the observed time-trace of contrast-agent (CA) concentration within a voxel, correspon...

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Bibliográfalaš dieđut
Váldodahkkit: Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Prabhu C. Acharya, Indrin J. Chetty, Benjamin Movsas, James R. Ewing, Kundan Thind
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Nature Portfolio 2025-01-01
Ráidu:Scientific Reports
Fáttát:
Nested Model Selection
Dynamic Contrast Enhanced MRI
Model Averaging
Unsupervised Kohonen Self Organizing Map
Physiological Tissue Characterization
Liŋkkat:https://doi.org/10.1038/s41598-024-83306-6

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https://doi.org/10.1038/s41598-024-83306-6

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