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Difuzijska imidžingna kurtosis×Statistika prostornih podataka utemeljenih na traktovima×
PodručjeNeurooslikavanjeNeurooslikavanje
ObiteljProcess / pipelineProcess / pipeline
Godina nastanka20052006
TvoracJens JensenStephen M. Smith
VrstaMicrostructural white matter analysisDiffusion MRI white matter analysis pipeline
Temeljni izvorJensen, 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 ↗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 ↗
Drugi naziviDKI, non-Gaussian diffusion, diffusion kurtosisTBSS, white matter skeleton analysis
Srodne33
SažetakDiffusion 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.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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ScholarGateUsporedite metode: Diffusion Kurtosis Imaging · Tract-Based Spatial Statistics. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare