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Pemodelan Kinetik PET×Pemetaan Kerentanan Kuantitatif×
BidangPengimejan PerubatanPengimejan Perubatan
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19832015
PengasasChristoph PatlakYong Wang
JenisMathematical framework for tracer kinetics in PET imagingQuantitative MRI contrast mechanism
Sumber perintisPatlak, 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 ↗Wang, Y., Liu, T. (2015). Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker. Magnetic Resonance in Medicine, 73(1), 82-101. DOI ↗
AliasPET pharmacokinetics, Dynamic PET, PET compartmental modelingQSM, susceptibility-weighted imaging
Berkaitan55
RingkasanPET 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.Quantitative Susceptibility Mapping (QSM) is a post-processing technique that converts MRI phase data into quantitative susceptibility values, enabling direct visualization and measurement of tissue magnetic properties. Developed by Wang, Liu, and colleagues, QSM transforms phase shifts caused by differences in magnetic susceptibility between tissues into tissue-specific biomarkers. It has revolutionized the sensitivity of MRI to iron, calcium, and other paramagnetic and diamagnetic substances, making it valuable in neurodegenerative disease diagnosis and tissue characterization.
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ScholarGateBandingkan kaedah: PET Kinetic Modeling · Quantitative Susceptibility Mapping. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare