مقایسهٔ روش‌ها

	مدل‌سازی کینتیک PET	بازسازی تکراری سی‌تی (CT Iterative Reconstruction)
حوزه	تصویربرداری پزشکی	تصویربرداری پزشکی
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1983	1974
پدیدآور	Christoph Patlak	Richard Gordon
نوع	Mathematical framework for tracer kinetics in PET imaging	Algorithm for tomographic image reconstruction
منبع بنیادین	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.	Gordon, R., Bender, R., Herman, G. T. (1974). Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and X-ray photography. Journal of Theoretical Biology, 29(3), 471-481.
نام‌های دیگر	PET pharmacokinetics, Dynamic PET, PET compartmental modeling	MBIR, ASIR, IR-CT, statistical reconstruction
مرتبط	5	5
خلاصه	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.	CT Iterative Reconstruction (IR) is a computational technique that reconstructs tomographic images from raw X-ray projection data by iteratively refining an estimate of tissue attenuation until it matches the measured projections. Developed from algebraic reconstruction techniques pioneered by Gordon in 1974, iterative reconstruction has revolutionized clinical CT by enabling high-quality images at reduced radiation dose. Variants such as Adaptive Statistical Iterative Reconstruction (ASIR) and Model-Based Iterative Reconstruction (MBIR) are now standard on modern CT scanners.