Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Трактографическая пространственная статистика× | Диффузионная томография с учетом куртозиса× | |
|---|---|---|
| Область | Нейровизуализация | Нейровизуализация |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2006 | 2005 |
| Автор метода≠ | Stephen M. Smith | Jens Jensen |
| Тип≠ | Diffusion MRI white matter analysis pipeline | Microstructural white matter analysis |
| Основополагающий источник≠ | 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. DOI ↗ | 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. DOI ↗ |
| Другие названия≠ | TBSS, white matter skeleton analysis | DKI, non-Gaussian diffusion, diffusion kurtosis |
| Связанные | 3 | 3 |
| Сводка≠ | 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. |
| ScholarGateНабор данных ↗ |
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