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| Кинетично моделиране с ПЕТ× | Трактография чрез дифузионно-тензорно изображение (DTI трактография)× | |
|---|---|---|
| Област | Медицинска образна диагностика | Медицинска образна диагностика |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1983 | 1999 |
| Създател≠ | Christoph Patlak | Peter Basser |
| Тип≠ | Mathematical framework for tracer kinetics in PET imaging | Fiber tracking from diffusion MRI |
| Основополагащ източник≠ | Patlak, C. S., Blasberg, R. G., Fenstermacher, J. D. (1983). Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. Journal of Cerebral Blood Flow & Metabolism, 3(1), 1-7. DOI ↗ | Basser, P. J., Mattiello, J., LeBihan, D. (1994). Estimation of the effective self-diffusion tensor from the NMR spin echo. Journal of Magnetic Resonance, Series B, 103(3), 247-254. DOI ↗ |
| Други названия | PET pharmacokinetics, Dynamic PET, PET compartmental modeling | Diffusion tensor tractography, White matter tractography, Fiber tracking |
| Свързани | 5 | 5 |
| Резюме≠ | PET kinetic modeling is a quantitative analysis technique that tracks the temporal behavior of radioactive tracers in tissue to extract physiological parameters such as blood flow, metabolic rate, and receptor density. Established by Patlak, Logan, and Gunn in the 1980s and 1990s, kinetic modeling transforms raw PET time-activity curves into interpretable biological measures. It is widely used in neurology, oncology, and cardiology to assess disease severity, treatment response, and regional tissue function. | Diffusion Tensor Imaging Tractography (DTI tractography) is a non-invasive neuroimaging technique that maps white matter fiber bundles in the brain by tracking the three-dimensional diffusion of water molecules along axons. Pioneered by Basser, Mori, and Conturo in the 1990s, DTI tractography reveals the structural connectivity of the brain, enabling visualization of major pathways (corpus callosum, arcuate fasciculus, corticospinal tract) and assessment of fiber integrity. It is widely used in neurosurgical planning, neurological disease assessment, and brain connectivity research. |
| ScholarGateНабор от данни ↗ |
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