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| NODDI× | Imagerie par Kurtosis de Diffusion× | |
|---|---|---|
| Domaine | Neuro-imagerie | Neuro-imagerie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2012 | 2005 |
| Auteur d'origine≠ | Hui Zhang | Jens Jensen |
| Type≠ | Microstructural white matter mapping | Microstructural white matter analysis |
| Source fondatrice≠ | Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012). NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage, 61(4), 1000–1016. DOI ↗ | Jensen, J. H., Helpern, J. A., Ramani, A., et al. (2005). Diffusional kurtosis imaging: the quantification of non-Gaussian water diffusion by magnetic resonance imaging. Magnetic Resonance in Medicine, 53(6), 1432–1440. DOI ↗ |
| Alias≠ | NODDI, neurite density mapping | DKI, non-Gaussian diffusion, diffusion kurtosis |
| Apparentées | 3 | 3 |
| Résumé≠ | Neurite Orientation Dispersion and Density Imaging (NODDI) is a biophysical diffusion MRI model that quantifies microstructural properties of white matter: neurite density (axonal density), orientation dispersion (fiber coherence), and isotropic diffusion (free water or cerebrospinal fluid). Introduced by Zhang and colleagues in 2012, NODDI provides biologically interpretable metrics directly linking diffusion MRI signals to tissue microstructure. | Diffusion Kurtosis Imaging (DKI) is an advanced diffusion MRI technique that quantifies non-Gaussian diffusion of water molecules, providing detailed information about tissue microstructure beyond conventional diffusion tensor imaging. Introduced by Jensen and colleagues in 2005, DKI detects deviations from normal Gaussian diffusion, revealing information about cellular compartmentalization and fiber heterogeneity. |
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