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Diffúziós Kurtózis Képalkotás×NODDI×Tract-Based Spatial Statistics×
TudományterületAgyi képalkotásAgyi képalkotásAgyi képalkotás
MódszercsaládProcess / pipelineProcess / pipelineProcess / pipeline
Keletkezés éve200520122006
MegalkotóJens JensenHui ZhangStephen M. Smith
TípusMicrostructural white matter analysisMicrostructural white matter mappingDiffusion MRI white matter analysis pipeline
AlapműJensen, 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 ↗Smith, S. M., Jenkinson, M., Johansen-Berg, H., et al. (2006). Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage, 31(4), 1487–1505. DOI ↗
Alternatív nevekDKI, non-Gaussian diffusion, diffusion kurtosisNODDI, neurite density mappingTBSS, white matter skeleton analysis
Kapcsolódó333
ÖsszefoglalóDiffusion 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.Tract-Based Spatial Statistics (TBSS) is a voxel-wise analysis method for detecting group differences in white matter microstructure from diffusion MRI data. Published by Stephen M. Smith and colleagues in 2006, TBSS addresses registration and multiple comparison problems inherent in voxel-wise analysis by projecting individual FA maps onto a white matter skeleton derived from a population template.
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ScholarGateMódszerek összehasonlítása: Diffusion Kurtosis Imaging · NODDI · Tract-Based Spatial Statistics. Letöltve 2026-06-19, forrás: https://scholargate.app/hu/compare