Salīdzināt metodes

	Difūzijas kurtosis attēlveidošana	Magnētiskās pārsūtīšanas attiecība	Statistiskā analīze uz trakteem (Tract-Based Spatial Statistics)
Nozare	Neiroattēlveidošana	Neiroattēlveidošana	Neiroattēlveidošana
Saime	Process / pipeline	Process / pipeline	Process / pipeline
Izcelsmes gads	2005	1989	2006
Autors	Jens Jensen	Stephen Wolff	Stephen M. Smith
Tips	Microstructural white matter analysis	Tissue microstructure characterization	Diffusion MRI white matter analysis pipeline
Pirmavots	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.	Wolff, S. D., & Balaban, R. S. (1989). Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo. Journal of Magnetic Resonance Imaging, 10(2), 135–148.	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.
Citi nosaukumi	DKI, non-Gaussian diffusion, diffusion kurtosis	MTR, magnetization transfer, MT imaging	TBSS, white matter skeleton analysis
Saistītās	3	3	3
Kopsavilkums	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.	Magnetisation Transfer Ratio (MTR) is an MRI method that measures the exchange of magnetization between free water protons and protons bound to macromolecules (primarily myelin lipids and proteins). Introduced by Wolff and Balaban in 1989, MTR reflects tissue macromolecular content and is particularly sensitive to myelination, providing a non-invasive estimate of myelin density.	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.