Basics and Advances of Quantitative PET Imaging

Khalil, Magdy M.

doi:10.1007/978-3-319-40070-9_13

Cited by 7 publications

(9 citation statements)

References 91 publications

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“…The standard parametric 18 F-FDG PET brain imaging protocol involves a 60 min single bed position acquisition over the brain after radiotracer injection, with arterial blood sampling to measure the AIF [2].…”

Section: Proposed Protocolmentioning

confidence: 99%

“…Parametric PET generates images of kinetic parameters describing FDG uptake, estimated from the temporal profile of changes in tissue tracer concentration. These kinetic parameters represent the influx of 18 F-FDG into tissue, 𝐾 1 (ml/g/min), efflux from tissue to blood, 𝑘 2 (1/min), the rates of phosphorylation of 18 F-FDG and dephosphorylation of 18 F-FDG-6-phosphate, 𝑘 3 and 𝑘 4 (1/min) respectively, and the net influx rate, 𝐾 𝑖 , computed as 𝐾 𝑖 = 𝐾 1 𝑘 3 /(𝑘 2 + 𝑘 3 ) in units of ml/g/min [2]. The parameters can be formulated as unknowns to be estimated in a compartmental model, as originally proposed by Sokoloff et al in 1977 [3].…”

Section: Introductionmentioning

confidence: 99%

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A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

Moradi

Vashistha

O’Brien

et al. 2023

Preprint

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Background In parametric PET, kinetic parameters are extracted from dynamic PET images. It is not commonly used in clinical practice because of long scan times and the requirement for an arterial input function (AIF). To address these limitations, we designed an 18F-fluorodeoxyglucose (18F-FDG) triple injection dynamic PET protocol for brain imaging with a standard field of view PET scanner using a 24 min imaging window and an input function modelled using measurements from a region of interest placed over the left ventricle. Methods To test the protocol in 6 healthy participants, we examined the quality of voxel-based maps of kinetic parameters in the brain generated using the two tissue compartment model and compared estimated parameter values with previously published values. We also utilized data from a 36 minute validation imaging window to compare 1) the modelled AIF against the input function measured in the validation window; and 2) the net influx rate (${K}_{i}$) computed using parameter estimates from the short imaging window against the net influx rate obtained using Patlak analysis in the validation window. Results Compared to the AIF measured in the validation window, the input function estimated from the short imaging window achieved a mean area under the curve error of 9%. The voxel-wise Pearson’s correlation between ${K}_{i}$ estimates from the short imaging window and the validation imaging window exceeded 0.95. Conclusion The proposed 24 min triple injection protocol enables parametric 18F-FDG neuroimaging with non-invasive estimation of the AIF from cardiac images using a standard field of view PET scanner.

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Section: Proposed Protocolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

Moradi

Vashistha

O’Brien

et al. 2023

Preprint

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“…where, C T (t) is the total activity of tissue in t s time [32]. It is assumed that V B has constant physiologic value of 5%.…”

Section: Shortened Protocol Evaluation By Simulated Annealing (Sa) Al...mentioning

confidence: 99%

Estimation of Kinetic Parameters in Dynamic FDG PET Imaging Based on Shortened Protocols Using Simulated Annealing Method : A virtual clinical study

Reshtebar

Hosseini

Zhuang

et al. 2023

Preprint

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Purpose: This study investigated the estimation of kinetic parameters and production of related parametric Ki images in FDG PET imaging using the proposed shortened protocol (three 3-min routine static images in 20-min, 60-min, and 90-min post injection) by means of the simulated annealing (SA) algorithm. Methods: Six realistic heterogeneous tumors and various levels of [18F] FDG uptake were simulated by XCAT phantom. An irreversible two-tissue compartment model (2TCM) using population-based input function (PBIF) was employed. The SA optimization algorithm was applied to estimate micro- and macro-parameters (K1, k2, k3, Ki). Results: A highly significant correlation (> 0.9) as well as limited bias (< 5%) were observed between kinetic parameters generated from two methods (two-tissue compartment full dynamic scan (2TCM-full) and two-tissue compartment by SA algorithm (2TCM-SA)). The analysis showed a strong correlation (> 0.8) between (2TCM-SA) Ki and SUV images. In addition, the tumor-to-background ratio (TBR) metric in the parametric (2TCM-SA) Ki images was significantly higher than SUV, although the SUV images provide better Contrast-to-noise ratio (CNR) relative to parametric (2TCM-SA) Ki images. Conclusions: Proposed shortened protocol by SA algorithm can estimate the kinetic parameters in FDG PET scan with high accuracy and robustness. It was also concluded that the parametric Ki images obtained from the 2TCM-SA as a complementary image of the SUV possess more quantification information than SUV images and can be used by the nuclear medicine specialist. This method has the potential to be an alternative to a full dynamic PET scan.

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“…Parametric PET generates images of kinetic parameters describing FDG uptake, estimated from the temporal profile of changes in tissue tracer concentration extracted from dynamic PET data. These kinetic parameters represent the influx of 18 F-FDG into tissue, (ml/g/min), efflux from tissue to blood, (1/min), the rates of phosphorylation of 18 F-FDG and dephosphorylation of 18 F-FDG-6-phosphate, and (1/min), respectively, and the net influx rate, , computed as in units of ml/g/min [ 2 ]. The parameters can be formulated as unknowns to be estimated in a compartmental model, as originally proposed by Sokoloff et al in 1977 [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

Moradi,

Vashistha,

O’Brien

et al. 2024

EJNMMI Res

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Background In parametric PET, kinetic parameters are extracted from dynamic PET images. It is not commonly used in clinical practice because of long scan times and the requirement for an arterial input function (AIF). To address these limitations, we designed an 18F-fluorodeoxyglucose (18F-FDG) triple injection dynamic PET protocol for brain imaging with a standard field of view PET scanner using a 24-min imaging window and an input function modeled using measurements from a region of interest placed over the left ventricle. Methods To test the protocol in 6 healthy participants, we examined the quality of voxel-based maps of kinetic parameters in the brain generated using the two-tissue compartment model and compared estimated parameter values with previously published values. We also utilized data from a 36-min validation imaging window to compare (1) the modeled AIF against the input function measured in the validation window; and (2) the net influx rate ($$K_{i}$$ K i ) computed using parameter estimates from the short imaging window against the net influx rate obtained using Patlak analysis in the validation window. Results Compared to the AIF measured in the validation window, the input function estimated from the short imaging window achieved a mean area under the curve error of 9%. The voxel-wise Pearson’s correlation between $$K_{i}$$ K i estimates from the short imaging window and the validation imaging window exceeded 0.95. Conclusion The proposed 24-min triple injection protocol enables parametric 18F-FDG neuroimaging with noninvasive estimation of the AIF from cardiac images using a standard field of view PET scanner.

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Basics and Advances of Quantitative PET Imaging

Cited by 7 publications

References 91 publications

A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

Estimation of Kinetic Parameters in Dynamic FDG PET Imaging Based on Shortened Protocols Using Simulated Annealing Method : A virtual clinical study

A short 18F-FDG imaging window triple injection neuroimaging protocol for parametric mapping in PET

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