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扩散峰度成像×神经元定向扩散与密度成像 (NODDI)×
领域神经影像神经影像
方法族Process / pipelineProcess / pipeline
起源年份20052012
提出者Jens JensenHui Zhang
类型Microstructural white matter analysisMicrostructural white matter mapping
开创性文献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 ↗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 ↗
别名DKI, non-Gaussian diffusion, diffusion kurtosisNODDI, neurite density mapping
相关33
摘要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.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.
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ScholarGate方法对比: Diffusion Kurtosis Imaging · NODDI. 于 2026-06-18 检索自 https://scholargate.app/zh/compare