השוואת שיטות

	NODDI	יחס העברת המגנוטיזציה	סטטיסטיקה מרחבית מבוססת מסלול
תחום	הדמיה עצבית	הדמיה עצבית	הדמיה עצבית
משפחה	Process / pipeline	Process / pipeline	Process / pipeline
שנת המקור	2012	1989	2006
הוגה השיטה	Hui Zhang	Stephen Wolff	Stephen M. Smith
סוג	Microstructural white matter mapping	Tissue microstructure characterization	Diffusion MRI white matter analysis pipeline
מקור מכונן	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.	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.
כינויים	NODDI, neurite density mapping	MTR, magnetization transfer, MT imaging	TBSS, white matter skeleton analysis
קשורות	3	3	3
תקציר	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.	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.