The Experts below are selected from a list of 31287 Experts worldwide ranked by ideXlab platform
Christian Wetzel - One of the best experts on this subject based on the ideXlab platform.
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Reliable quantification of ^18F-GE-180 PET neuroinflammation studies using an individually scaled population-based input Function or late tissue-to-blood ratio
European Journal of Nuclear Medicine and Molecular Imaging, 2020Co-Authors: Ralph Buchert, Meike Dirks, Christian Schütze, Florian Wilke, Martin Mamach, Ann-katrin Wirries, Henning Pflugrad, Linda Hamann, Laura B.n. Langer, Christian WetzelAbstract:Purpose Tracer kinetic modeling of tissue time activity curves and the individual input Function based on arterial blood sampling and metabolite correction is the gold standard for quantitative characterization of microglia activation by PET with the translocator protein (TSPO) ligand ^18F-GE-180. This study tested simplified methods for quantification of ^18F-GE-180 PET. Methods Dynamic ^18F-GE-180 PET with arterial blood sampling and metabolite correction was performed in five healthy volunteers and 20 liver-transplanted patients. Population-based input Function Templates were generated by averaging individual input Functions normalized to the total area under the input Function using a leave-one-out approach. Individual population-based input Functions were obtained by scaling the input Function Template with the individual parent activity concentration of ^18F-GE-180 in arterial plasma in a blood sample drawn at 27.5 min or by the individual administered tracer activity, respectively. The total ^18F-GE-180 distribution volume (V_T) was estimated in 12 regions-of-interest (ROIs) by the invasive Logan plot using the measured or the population-based input Functions. Late ROI-to-whole-blood and ROI-to-cerebellum ratio were also computed. Results Correlation with the reference V_T (with individually measured input Function) was very high for V_T with the population-based input Function scaled with the blood sample and for the ROI-to-whole-blood ratio (Pearson correlation coefficient = 0.989 ± 0.006 and 0.970 ± 0.005). The correlation was only moderate for V_T with the population-based input Function scaled with tracer activity dose and for the ROI-to-cerebellum ratio (0.653 ± 0.074 and 0.384 ± 0.177). Reference V_T, population-based V_T with scaling by the blood sample, and ROI-to-whole-blood ratio were sensitive to the TSPO gene polymorphism. Population-based V_T with scaling to the administered tracer activity and the ROI-to-cerebellum ratio failed to detect a polymorphism effect. Conclusion These results support the use of a population-based input Function scaled with a single blood sample or the ROI-to-whole-blood ratio at a late time point for simplified quantitative analysis of ^18F-GE-180 PET.
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Reliable quantification of ^18F-GE-180 PET neuroinflammation studies using an individually scaled population-based input Function or late tissue-to-blood ratio
European Journal of Nuclear Medicine and Molecular Imaging, 2020Co-Authors: Ralph Buchert, Meike Dirks, Christian Schütze, Florian Wilke, Martin Mamach, Ann-katrin Wirries, Henning Pflugrad, Linda Hamann, Laura B.n. Langer, Christian WetzelAbstract:Purpose Tracer kinetic modeling of tissue time activity curves and the individual input Function based on arterial blood sampling and metabolite correction is the gold standard for quantitative characterization of microglia activation by PET with the translocator protein (TSPO) ligand ^18F-GE-180. This study tested simplified methods for quantification of ^18F-GE-180 PET. Methods Dynamic ^18F-GE-180 PET with arterial blood sampling and metabolite correction was performed in five healthy volunteers and 20 liver-transplanted patients. Population-based input Function Templates were generated by averaging individual input Functions normalized to the total area under the input Function using a leave-one-out approach. Individual population-based input Functions were obtained by scaling the input Function Template with the individual parent activity concentration of ^18F-GE-180 in arterial plasma in a blood sample drawn at 27.5 min or by the individual administered tracer activity, respectively. The total ^18F-GE-180 distribution volume (V_T) was estimated in 12 regions-of-interest (ROIs) by the invasive Logan plot using the measured or the population-based input Functions. Late ROI-to-whole-blood and ROI-to-cerebellum ratio were also computed. Results Correlation with the reference V_T (with individually measured input Function) was very high for V_T with the population-based input Function scaled with the blood sample and for the ROI-to-whole-blood ratio (Pearson correlation coefficient = 0.989 ± 0.006 and 0.970 ± 0.005). The correlation was only moderate for V_T with the population-based input Function scaled with tracer activity dose and for the ROI-to-cerebellum ratio (0.653 ± 0.074 and 0.384 ± 0.177). Reference V_T, population-based V_T with scaling by the blood sample, and ROI-to-whole-blood ratio were sensitive to the TSPO gene polymorphism. Population-based V_T with scaling to the administered tracer activity and the ROI-to-cerebellum ratio failed to detect a polymorphism effect. Conclusion These results support the use of a population-based input Function scaled with a single blood sample or the ROI-to-whole-blood ratio at a late time point for simplified quantitative analysis of ^18F-GE-180 PET.
Bruno Stankoff - One of the best experts on this subject based on the ideXlab platform.
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multicenter validation of population based input Function with non linear mixed effect modeling for voxel wise quantification of 18 f fdg metabolic rate
International Symposium on Biomedical Imaging, 2019Co-Authors: Matteo Tonietto, Francesca Zanderigo, Alessandra Bertoldo, Davangere P Devanand, John J Mann, Benedetta Bodini, Bruno StankoffAbstract:Population-based input Function (PBF) methods provide a less-invasive approach to the quantification of dynamic positron emission tomography (PET) images. PBF methods require the a priori creation of an input Function Template from a group of subjects who underwent full arterial blood sampling with the same radiotracer. The Template is then calibrated using one or two blood samples from the subject under analysis. In this study we propose to generate the PBF Template from a group of 8 subjects using a non-linear mixed effect approach and a new input Function model. We validated our PBF approach using an independent[18F] FDG dataset of 25 subjects acquired in a different PET center. Results showed a high correlation (> 0.98) and low bias (mean percentage error=1.0 ± 3.1%) between the voxel-wise estimates of [18F] FDG net uptake rate (K i ) obtained with the measured input Function and those obtained with the proposed PBF, supporting its use for the quantification of [18F] FDG images acquired in different PET centers.
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ISBI - Multicenter Validation Of Population-Based Input Function With Non-Linear Mixed Effect Modeling For Voxel-Wise Quantification Of [ 18 F]Fdg Metabolic Rate
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019Co-Authors: Matteo Tonietto, Francesca Zanderigo, Alessandra Bertoldo, Davangere P Devanand, John J Mann, Benedetta Bodini, Bruno StankoffAbstract:Population-based input Function (PBF) methods provide a less-invasive approach to the quantification of dynamic positron emission tomography (PET) images. PBF methods require the a priori creation of an input Function Template from a group of subjects who underwent full arterial blood sampling with the same radiotracer. The Template is then calibrated using one or two blood samples from the subject under analysis. In this study we propose to generate the PBF Template from a group of 8 subjects using a non-linear mixed effect approach and a new input Function model. We validated our PBF approach using an independent[18F] FDG dataset of 25 subjects acquired in a different PET center. Results showed a high correlation (> 0.98) and low bias (mean percentage error=1.0 ± 3.1%) between the voxel-wise estimates of [18F] FDG net uptake rate (K i ) obtained with the measured input Function and those obtained with the proposed PBF, supporting its use for the quantification of [18F] FDG images acquired in different PET centers.
Ralph Buchert - One of the best experts on this subject based on the ideXlab platform.
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Reliable quantification of ^18F-GE-180 PET neuroinflammation studies using an individually scaled population-based input Function or late tissue-to-blood ratio
European Journal of Nuclear Medicine and Molecular Imaging, 2020Co-Authors: Ralph Buchert, Meike Dirks, Christian Schütze, Florian Wilke, Martin Mamach, Ann-katrin Wirries, Henning Pflugrad, Linda Hamann, Laura B.n. Langer, Christian WetzelAbstract:Purpose Tracer kinetic modeling of tissue time activity curves and the individual input Function based on arterial blood sampling and metabolite correction is the gold standard for quantitative characterization of microglia activation by PET with the translocator protein (TSPO) ligand ^18F-GE-180. This study tested simplified methods for quantification of ^18F-GE-180 PET. Methods Dynamic ^18F-GE-180 PET with arterial blood sampling and metabolite correction was performed in five healthy volunteers and 20 liver-transplanted patients. Population-based input Function Templates were generated by averaging individual input Functions normalized to the total area under the input Function using a leave-one-out approach. Individual population-based input Functions were obtained by scaling the input Function Template with the individual parent activity concentration of ^18F-GE-180 in arterial plasma in a blood sample drawn at 27.5 min or by the individual administered tracer activity, respectively. The total ^18F-GE-180 distribution volume (V_T) was estimated in 12 regions-of-interest (ROIs) by the invasive Logan plot using the measured or the population-based input Functions. Late ROI-to-whole-blood and ROI-to-cerebellum ratio were also computed. Results Correlation with the reference V_T (with individually measured input Function) was very high for V_T with the population-based input Function scaled with the blood sample and for the ROI-to-whole-blood ratio (Pearson correlation coefficient = 0.989 ± 0.006 and 0.970 ± 0.005). The correlation was only moderate for V_T with the population-based input Function scaled with tracer activity dose and for the ROI-to-cerebellum ratio (0.653 ± 0.074 and 0.384 ± 0.177). Reference V_T, population-based V_T with scaling by the blood sample, and ROI-to-whole-blood ratio were sensitive to the TSPO gene polymorphism. Population-based V_T with scaling to the administered tracer activity and the ROI-to-cerebellum ratio failed to detect a polymorphism effect. Conclusion These results support the use of a population-based input Function scaled with a single blood sample or the ROI-to-whole-blood ratio at a late time point for simplified quantitative analysis of ^18F-GE-180 PET.
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Reliable quantification of ^18F-GE-180 PET neuroinflammation studies using an individually scaled population-based input Function or late tissue-to-blood ratio
European Journal of Nuclear Medicine and Molecular Imaging, 2020Co-Authors: Ralph Buchert, Meike Dirks, Christian Schütze, Florian Wilke, Martin Mamach, Ann-katrin Wirries, Henning Pflugrad, Linda Hamann, Laura B.n. Langer, Christian WetzelAbstract:Purpose Tracer kinetic modeling of tissue time activity curves and the individual input Function based on arterial blood sampling and metabolite correction is the gold standard for quantitative characterization of microglia activation by PET with the translocator protein (TSPO) ligand ^18F-GE-180. This study tested simplified methods for quantification of ^18F-GE-180 PET. Methods Dynamic ^18F-GE-180 PET with arterial blood sampling and metabolite correction was performed in five healthy volunteers and 20 liver-transplanted patients. Population-based input Function Templates were generated by averaging individual input Functions normalized to the total area under the input Function using a leave-one-out approach. Individual population-based input Functions were obtained by scaling the input Function Template with the individual parent activity concentration of ^18F-GE-180 in arterial plasma in a blood sample drawn at 27.5 min or by the individual administered tracer activity, respectively. The total ^18F-GE-180 distribution volume (V_T) was estimated in 12 regions-of-interest (ROIs) by the invasive Logan plot using the measured or the population-based input Functions. Late ROI-to-whole-blood and ROI-to-cerebellum ratio were also computed. Results Correlation with the reference V_T (with individually measured input Function) was very high for V_T with the population-based input Function scaled with the blood sample and for the ROI-to-whole-blood ratio (Pearson correlation coefficient = 0.989 ± 0.006 and 0.970 ± 0.005). The correlation was only moderate for V_T with the population-based input Function scaled with tracer activity dose and for the ROI-to-cerebellum ratio (0.653 ± 0.074 and 0.384 ± 0.177). Reference V_T, population-based V_T with scaling by the blood sample, and ROI-to-whole-blood ratio were sensitive to the TSPO gene polymorphism. Population-based V_T with scaling to the administered tracer activity and the ROI-to-cerebellum ratio failed to detect a polymorphism effect. Conclusion These results support the use of a population-based input Function scaled with a single blood sample or the ROI-to-whole-blood ratio at a late time point for simplified quantitative analysis of ^18F-GE-180 PET.
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Reliable quantification of 18F-GE-180 PET neuroinflammation studies using an individually scaled population-based input Function or late tissue-to-blood ratio.
European Journal of Nuclear Medicine and Molecular Imaging, 2020Co-Authors: Ralph Buchert, Meike Dirks, Christian Schütze, Florian Wilke, Martin Mamach, Ann-katrin Wirries, Henning Pflugrad, Linda Hamann, Laura B.n. Langer, Christian H. WetzelAbstract:Tracer kinetic modeling of tissue time activity curves and the individual input Function based on arterial blood sampling and metabolite correction is the gold standard for quantitative characterization of microglia activation by PET with the translocator protein (TSPO) ligand 18F-GE-180. This study tested simplified methods for quantification of 18F-GE-180 PET. Dynamic 18F-GE-180 PET with arterial blood sampling and metabolite correction was performed in five healthy volunteers and 20 liver-transplanted patients. Population-based input Function Templates were generated by averaging individual input Functions normalized to the total area under the input Function using a leave-one-out approach. Individual population-based input Functions were obtained by scaling the input Function Template with the individual parent activity concentration of 18F-GE-180 in arterial plasma in a blood sample drawn at 27.5 min or by the individual administered tracer activity, respectively. The total 18F-GE-180 distribution volume (VT) was estimated in 12 regions-of-interest (ROIs) by the invasive Logan plot using the measured or the population-based input Functions. Late ROI-to-whole-blood and ROI-to-cerebellum ratio were also computed. Correlation with the reference VT (with individually measured input Function) was very high for VT with the population-based input Function scaled with the blood sample and for the ROI-to-whole-blood ratio (Pearson correlation coefficient = 0.989 ± 0.006 and 0.970 ± 0.005). The correlation was only moderate for VT with the population-based input Function scaled with tracer activity dose and for the ROI-to-cerebellum ratio (0.653 ± 0.074 and 0.384 ± 0.177). Reference VT, population-based VT with scaling by the blood sample, and ROI-to-whole-blood ratio were sensitive to the TSPO gene polymorphism. Population-based VT with scaling to the administered tracer activity and the ROI-to-cerebellum ratio failed to detect a polymorphism effect. These results support the use of a population-based input Function scaled with a single blood sample or the ROI-to-whole-blood ratio at a late time point for simplified quantitative analysis of 18F-GE-180 PET.
Matteo Tonietto - One of the best experts on this subject based on the ideXlab platform.
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multicenter validation of population based input Function with non linear mixed effect modeling for voxel wise quantification of 18 f fdg metabolic rate
International Symposium on Biomedical Imaging, 2019Co-Authors: Matteo Tonietto, Francesca Zanderigo, Alessandra Bertoldo, Davangere P Devanand, John J Mann, Benedetta Bodini, Bruno StankoffAbstract:Population-based input Function (PBF) methods provide a less-invasive approach to the quantification of dynamic positron emission tomography (PET) images. PBF methods require the a priori creation of an input Function Template from a group of subjects who underwent full arterial blood sampling with the same radiotracer. The Template is then calibrated using one or two blood samples from the subject under analysis. In this study we propose to generate the PBF Template from a group of 8 subjects using a non-linear mixed effect approach and a new input Function model. We validated our PBF approach using an independent[18F] FDG dataset of 25 subjects acquired in a different PET center. Results showed a high correlation (> 0.98) and low bias (mean percentage error=1.0 ± 3.1%) between the voxel-wise estimates of [18F] FDG net uptake rate (K i ) obtained with the measured input Function and those obtained with the proposed PBF, supporting its use for the quantification of [18F] FDG images acquired in different PET centers.
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ISBI - Multicenter Validation Of Population-Based Input Function With Non-Linear Mixed Effect Modeling For Voxel-Wise Quantification Of [ 18 F]Fdg Metabolic Rate
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019Co-Authors: Matteo Tonietto, Francesca Zanderigo, Alessandra Bertoldo, Davangere P Devanand, John J Mann, Benedetta Bodini, Bruno StankoffAbstract:Population-based input Function (PBF) methods provide a less-invasive approach to the quantification of dynamic positron emission tomography (PET) images. PBF methods require the a priori creation of an input Function Template from a group of subjects who underwent full arterial blood sampling with the same radiotracer. The Template is then calibrated using one or two blood samples from the subject under analysis. In this study we propose to generate the PBF Template from a group of 8 subjects using a non-linear mixed effect approach and a new input Function model. We validated our PBF approach using an independent[18F] FDG dataset of 25 subjects acquired in a different PET center. Results showed a high correlation (> 0.98) and low bias (mean percentage error=1.0 ± 3.1%) between the voxel-wise estimates of [18F] FDG net uptake rate (K i ) obtained with the measured input Function and those obtained with the proposed PBF, supporting its use for the quantification of [18F] FDG images acquired in different PET centers.
Martin Mamach - One of the best experts on this subject based on the ideXlab platform.
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Reliable quantification of ^18F-GE-180 PET neuroinflammation studies using an individually scaled population-based input Function or late tissue-to-blood ratio
European Journal of Nuclear Medicine and Molecular Imaging, 2020Co-Authors: Ralph Buchert, Meike Dirks, Christian Schütze, Florian Wilke, Martin Mamach, Ann-katrin Wirries, Henning Pflugrad, Linda Hamann, Laura B.n. Langer, Christian WetzelAbstract:Purpose Tracer kinetic modeling of tissue time activity curves and the individual input Function based on arterial blood sampling and metabolite correction is the gold standard for quantitative characterization of microglia activation by PET with the translocator protein (TSPO) ligand ^18F-GE-180. This study tested simplified methods for quantification of ^18F-GE-180 PET. Methods Dynamic ^18F-GE-180 PET with arterial blood sampling and metabolite correction was performed in five healthy volunteers and 20 liver-transplanted patients. Population-based input Function Templates were generated by averaging individual input Functions normalized to the total area under the input Function using a leave-one-out approach. Individual population-based input Functions were obtained by scaling the input Function Template with the individual parent activity concentration of ^18F-GE-180 in arterial plasma in a blood sample drawn at 27.5 min or by the individual administered tracer activity, respectively. The total ^18F-GE-180 distribution volume (V_T) was estimated in 12 regions-of-interest (ROIs) by the invasive Logan plot using the measured or the population-based input Functions. Late ROI-to-whole-blood and ROI-to-cerebellum ratio were also computed. Results Correlation with the reference V_T (with individually measured input Function) was very high for V_T with the population-based input Function scaled with the blood sample and for the ROI-to-whole-blood ratio (Pearson correlation coefficient = 0.989 ± 0.006 and 0.970 ± 0.005). The correlation was only moderate for V_T with the population-based input Function scaled with tracer activity dose and for the ROI-to-cerebellum ratio (0.653 ± 0.074 and 0.384 ± 0.177). Reference V_T, population-based V_T with scaling by the blood sample, and ROI-to-whole-blood ratio were sensitive to the TSPO gene polymorphism. Population-based V_T with scaling to the administered tracer activity and the ROI-to-cerebellum ratio failed to detect a polymorphism effect. Conclusion These results support the use of a population-based input Function scaled with a single blood sample or the ROI-to-whole-blood ratio at a late time point for simplified quantitative analysis of ^18F-GE-180 PET.
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Reliable quantification of ^18F-GE-180 PET neuroinflammation studies using an individually scaled population-based input Function or late tissue-to-blood ratio
European Journal of Nuclear Medicine and Molecular Imaging, 2020Co-Authors: Ralph Buchert, Meike Dirks, Christian Schütze, Florian Wilke, Martin Mamach, Ann-katrin Wirries, Henning Pflugrad, Linda Hamann, Laura B.n. Langer, Christian WetzelAbstract:Purpose Tracer kinetic modeling of tissue time activity curves and the individual input Function based on arterial blood sampling and metabolite correction is the gold standard for quantitative characterization of microglia activation by PET with the translocator protein (TSPO) ligand ^18F-GE-180. This study tested simplified methods for quantification of ^18F-GE-180 PET. Methods Dynamic ^18F-GE-180 PET with arterial blood sampling and metabolite correction was performed in five healthy volunteers and 20 liver-transplanted patients. Population-based input Function Templates were generated by averaging individual input Functions normalized to the total area under the input Function using a leave-one-out approach. Individual population-based input Functions were obtained by scaling the input Function Template with the individual parent activity concentration of ^18F-GE-180 in arterial plasma in a blood sample drawn at 27.5 min or by the individual administered tracer activity, respectively. The total ^18F-GE-180 distribution volume (V_T) was estimated in 12 regions-of-interest (ROIs) by the invasive Logan plot using the measured or the population-based input Functions. Late ROI-to-whole-blood and ROI-to-cerebellum ratio were also computed. Results Correlation with the reference V_T (with individually measured input Function) was very high for V_T with the population-based input Function scaled with the blood sample and for the ROI-to-whole-blood ratio (Pearson correlation coefficient = 0.989 ± 0.006 and 0.970 ± 0.005). The correlation was only moderate for V_T with the population-based input Function scaled with tracer activity dose and for the ROI-to-cerebellum ratio (0.653 ± 0.074 and 0.384 ± 0.177). Reference V_T, population-based V_T with scaling by the blood sample, and ROI-to-whole-blood ratio were sensitive to the TSPO gene polymorphism. Population-based V_T with scaling to the administered tracer activity and the ROI-to-cerebellum ratio failed to detect a polymorphism effect. Conclusion These results support the use of a population-based input Function scaled with a single blood sample or the ROI-to-whole-blood ratio at a late time point for simplified quantitative analysis of ^18F-GE-180 PET.
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Reliable quantification of 18F-GE-180 PET neuroinflammation studies using an individually scaled population-based input Function or late tissue-to-blood ratio.
European Journal of Nuclear Medicine and Molecular Imaging, 2020Co-Authors: Ralph Buchert, Meike Dirks, Christian Schütze, Florian Wilke, Martin Mamach, Ann-katrin Wirries, Henning Pflugrad, Linda Hamann, Laura B.n. Langer, Christian H. WetzelAbstract:Tracer kinetic modeling of tissue time activity curves and the individual input Function based on arterial blood sampling and metabolite correction is the gold standard for quantitative characterization of microglia activation by PET with the translocator protein (TSPO) ligand 18F-GE-180. This study tested simplified methods for quantification of 18F-GE-180 PET. Dynamic 18F-GE-180 PET with arterial blood sampling and metabolite correction was performed in five healthy volunteers and 20 liver-transplanted patients. Population-based input Function Templates were generated by averaging individual input Functions normalized to the total area under the input Function using a leave-one-out approach. Individual population-based input Functions were obtained by scaling the input Function Template with the individual parent activity concentration of 18F-GE-180 in arterial plasma in a blood sample drawn at 27.5 min or by the individual administered tracer activity, respectively. The total 18F-GE-180 distribution volume (VT) was estimated in 12 regions-of-interest (ROIs) by the invasive Logan plot using the measured or the population-based input Functions. Late ROI-to-whole-blood and ROI-to-cerebellum ratio were also computed. Correlation with the reference VT (with individually measured input Function) was very high for VT with the population-based input Function scaled with the blood sample and for the ROI-to-whole-blood ratio (Pearson correlation coefficient = 0.989 ± 0.006 and 0.970 ± 0.005). The correlation was only moderate for VT with the population-based input Function scaled with tracer activity dose and for the ROI-to-cerebellum ratio (0.653 ± 0.074 and 0.384 ± 0.177). Reference VT, population-based VT with scaling by the blood sample, and ROI-to-whole-blood ratio were sensitive to the TSPO gene polymorphism. Population-based VT with scaling to the administered tracer activity and the ROI-to-cerebellum ratio failed to detect a polymorphism effect. These results support the use of a population-based input Function scaled with a single blood sample or the ROI-to-whole-blood ratio at a late time point for simplified quantitative analysis of 18F-GE-180 PET.
