পদ্ধতির তুলনা করুন

	ট্র্যাক্ট-ভিত্তিক স্থানিক পরিসংখ্যান	ডিফিউশন কার্তোসিস ইমেজিং	NODDI
ক্ষেত্র	স্নায়ু প্রতিবিম্বন	স্নায়ু প্রতিবিম্বন	স্নায়ু প্রতিবিম্বন
পরিবার	Process / pipeline	Process / pipeline	Process / pipeline
উদ্ভবের বছর	2006	2005	2012
প্রবর্তক	Stephen M. Smith	Jens Jensen	Hui Zhang
ধরন	Diffusion MRI white matter analysis pipeline	Microstructural white matter analysis	Microstructural white matter mapping
মৌলিক উৎস	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.	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.	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.
অপর নাম	TBSS, white matter skeleton analysis	DKI, non-Gaussian diffusion, diffusion kurtosis	NODDI, neurite density mapping
সম্পর্কিত	3	3	3
সারসংক্ষেপ	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.	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.	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.