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| PET 동역학 모델링× | 광간섭단층촬영 혈관조영술× | |
|---|---|---|
| 분야 | 의료영상 | 의료영상 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1983 | 2012 |
| 창시자≠ | Christoph Patlak | Yali Jia |
| 유형≠ | Mathematical framework for tracer kinetics in PET imaging | Optical imaging technique for vasculature visualization |
| 원전≠ | 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 ↗ | Jia, Y., Tan, O., Tokayer, J., et al. (2012). Split-spectrum amplitude-decorrelation angiography with optical coherence tomography. Optics Express, 20(4), 4710-4725. DOI ↗ |
| 별칭≠ | PET pharmacokinetics, Dynamic PET, PET compartmental modeling | OCTA, OCT-A |
| 관련 | 5 | 5 |
| 요약≠ | 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. | Optical Coherence Tomography Angiography (OCTA) is a non-invasive imaging technique that visualizes the microvasculature in the retina and choroid by detecting motion contrast from flowing blood. Developed by Jia and colleagues in 2012, OCTA uses repeated OCT scans of the same tissue location to identify blood flow based on the decorrelation signal. It has become a critical diagnostic tool in ophthalmology for detecting retinal and macular diseases without requiring fluorescein injection. |
| ScholarGate데이터셋 ↗ |
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