Compară metode

	Reconstrucție Iterativă CT	Modelarea cinetică PET
Domeniu	Imagistică medicală	Imagistică medicală
Familie	Process / pipeline	Process / pipeline
Anul apariției	1974	1983
Autorul original	Richard Gordon	Christoph Patlak
Tip	Algorithm for tomographic image reconstruction	Mathematical framework for tracer kinetics in PET imaging
Sursa seminală	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.	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.
Denumiri alternative	MBIR, ASIR, IR-CT, statistical reconstruction	PET pharmacokinetics, Dynamic PET, PET compartmental modeling
Înrudite	5	5
Rezumat	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.	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.