Porovnať metódy

	Rádiomika	Angiografia s optickou koherentnou tomografiou	Kinetické modelovanie pomocou PET
Odbor	Lekárske zobrazovanie	Lekárske zobrazovanie	Lekárske zobrazovanie
Rodina	Process / pipeline	Process / pipeline	Process / pipeline
Rok vzniku	2012	2012	1983
Tvorca	Philippe Lambin	Yali Jia	Christoph Patlak
Typ	Machine learning-based texture and morphology analysis	Optical imaging technique for vasculature visualization	Mathematical framework for tracer kinetics in PET imaging
Pôvodný zdroj	Lambin, P., Rios-Velazquez, E., Leijenaar, R., et al. (2012). Radiomics: extracting more information from medical images using advanced feature analysis. Nature Reviews Clinical Oncology, 9(12), 676-684.	Jia, Y., Tan, O., Tokayer, J., et al. (2012). Split-spectrum amplitude-decorrelation angiography with optical coherence tomography. Optics Express, 20(4), 4710-4725.	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.
Ďalšie názvy	texture analysis, radiomics analysis, quantitative imaging biomarkers	OCTA, OCT-A	PET pharmacokinetics, Dynamic PET, PET compartmental modeling
Príbuzné	5	5	5
Zhrnutie	Radiomics is a computational methodology that extracts large numbers of quantitative features from medical images (CT, MRI, PET) using automated image analysis and machine learning to discover imaging biomarkers associated with disease phenotype, prognosis, and treatment response. Developed by Lambin, Gillies, and colleagues in 2012, radiomics aims to decode the biology underlying visible imaging patterns, enabling personalized medicine through image-based phenotyping. It has emerged as a powerful tool in oncology for tumor characterization, prognosis prediction, and therapy response assessment.	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.	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.