手法を比較

	拡散 커토시스 イメージング (Diffusion Kurtosis Imaging, DKI)	Tract-Based Spatial Statistics
分野	神経画像学	神経画像学
系統	Process / pipeline	Process / pipeline
提唱年	2005	2006
提唱者	Jens Jensen	Stephen M. Smith
種類	Microstructural white matter analysis	Diffusion MRI white matter analysis pipeline
原典	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.	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.
別名	DKI, non-Gaussian diffusion, diffusion kurtosis	TBSS, white matter skeleton analysis
関連	3	3
概要	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.	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.