Σύγκριση μεθόδων

	Λόγος Μεταφοράς Μαγνήτισης	Απεικονιστική Τανυστικής Διάχυσης (DKI)	Στατιστική Ανάλυση Βάσει Δομών (Tract-Based Spatial Statistics)
Πεδίο	Νευροαπεικόνιση	Νευροαπεικόνιση	Νευροαπεικόνιση
Οικογένεια	Process / pipeline	Process / pipeline	Process / pipeline
Έτος προέλευσης	1989	2005	2006
Δημιουργός	Stephen Wolff	Jens Jensen	Stephen M. Smith
Τύπος	Tissue microstructure characterization	Microstructural white matter analysis	Diffusion MRI white matter analysis pipeline
Θεμελιώδης πηγή	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.	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.
Εναλλακτικές ονομασίες	MTR, magnetization transfer, MT imaging	DKI, non-Gaussian diffusion, diffusion kurtosis	TBSS, white matter skeleton analysis
Συναφείς	3	3	3
Σύνοψη	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.	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.