Population‐based Bayesian regularization for microstructural diffusion MRI with NODDIDA

Purpose Information on the brain microstructure can be probed by Diffusion Magnetic Resonance Imaging (dMRI). Neurite Orientation Dispersion and Density Imaging with Diffusivities Assessment (NODDIDA) is one of the simplest microstructural model proposed. However, the estimation of the NODDIDA param...

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Veröffentlicht in:	Magnetic resonance in medicine Jg. 82; H. 4; S. 1553 - 1565
Hauptverfasser:	Mozumder, Meghdoot, Pozo, Jose M., Coelho, Santiago, Frangi, Alejandro F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Wiley Subscription Services, Inc 01.10.2019 John Wiley and Sons Inc
Schlagworte:	Adult Bayes Theorem Bayesian analysis biophysical tissue models Brain Brain - cytology Brain - diagnostic imaging Convexity Data acquisition Datasets Diffusion Diffusion Magnetic Resonance Imaging - methods diffusion MRI Full Papers—Computer Processing and Modeling Humans Image Processing, Computer-Assisted - methods Magnetic resonance imaging Medical imaging Microstructure microstructure imaging Middle Aged modeling Neurites - physiology Neuroimaging NMR Nuclear magnetic resonance Optimization Parameter estimation Parameter robustness Population Regularization diffusion MRI parameter estimation microstructure imaging modeling biophysical tissue models
ISSN:	0740-3194, 1522-2594, 1522-2594
Online-Zugang:	Volltext
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