Introduction Point-spread-function (PSF) modelling seem to be very attractive to obtain superior image quality in [F-18] FDG oncological studies, nonetheless it is known to significantly increase noise variability. Purpose To evaluate the impact of PSF/TF on noise structure of iterative reconstructed (IR) images. Materials and methods An anthropomorphic phantom with [F-18] FDG clinical concentrations was acquired on Biograph-mCT (Siemens) and Discovery690 (General Electric) PET/CT scanners. Overall, 96 datasets were obtained by varying reconstruction modalities (RM = IR, TF, PSF, TF+PSF), frame (128,256), equivalent iterations number (IT = 63,270), and Gaussian filter (GF = 2, 4, 6 mm). To limit noise correlation in PET imaging, 6 groups of concentric ROIs (r = 8;10;13;16;19 mm) were drawn on 3 slices at liver level. Fixing slice and ROI size, the signal variation was defined: SV% = 100∗SD/M, were SD,M are standard deviation, mean among the mean count values found for the ROIs, respectively. Results SV decreases with ROI size and GF, and increases with IT. Moreover, SV depends on RM, but in different ways on the two PET scanners. For Biograph-mCT, highest and lowest SV were observed for PSF and TF and for GF = 2, 4, 6 mm mean(range) values were: 7.8%(5.1–10.6), 5.7%(3.1–8.5), 4.5%(2.5–6.7) and 4.5%(2.7–6.4), 3.8%(2.4–5.4), 3.2(2.2–4.5), respectively. For Discovery690, highest and lowest SV were observed for PSF+TF and IR and for GF = 2, 4, 6 mm the mean(range) values were: 8.3%(6.8–10.5), 8.1%(6.7–10.2), 7.9%(6.6–9.7) and 5.1%(3.5–8.2), 4.5%(3.1–7.0), 4.2%(3.2–6.2), respectively. Same trends are observed for the range of SV values. Conclusions The PET scanners of this study showed different behaviors of SV in relation to RM. Increased SV could lead to degradation of precision in quantitative oncological studies with [F-18] FDG for monitoring treatment response. Point-spread-function (PSF) modelling seem to be very attractive to obtain superior image quality in [F-18] FDG oncological studies, nonetheless it is known to significantly increase noise variability. To evaluate the impact of PSF/TF on noise structure of iterative reconstructed (IR) images. An anthropomorphic phantom with [F-18] FDG clinical concentrations was acquired on Biograph-mCT (Siemens) and Discovery690 (General Electric) PET/CT scanners. Overall, 96 datasets were obtained by varying reconstruction modalities (RM = IR, TF, PSF, TF+PSF), frame (128,256), equivalent iterations number (IT = 63,270), and Gaussian filter (GF = 2, 4, 6 mm). To limit noise correlation in PET imaging, 6 groups of concentric ROIs (r = 8;10;13;16;19 mm) were drawn on 3 slices at liver level. Fixing slice and ROI size, the signal variation was defined: SV% = 100∗SD/M, were SD,M are standard deviation, mean among the mean count values found for the ROIs, respectively. SV decreases with ROI size and GF, and increases with IT. Moreover, SV depends on RM, but in different ways on the two PET scanners. For Biograph-mCT, highest and lowest SV were observed for PSF and TF and for GF = 2, 4, 6 mm mean(range) values were: 7.8%(5.1–10.6), 5.7%(3.1–8.5), 4.5%(2.5–6.7) and 4.5%(2.7–6.4), 3.8%(2.4–5.4), 3.2(2.2–4.5), respectively. For Discovery690, highest and lowest SV were observed for PSF+TF and IR and for GF = 2, 4, 6 mm the mean(range) values were: 8.3%(6.8–10.5), 8.1%(6.7–10.2), 7.9%(6.6–9.7) and 5.1%(3.5–8.2), 4.5%(3.1–7.0), 4.2%(3.2–6.2), respectively. Same trends are observed for the range of SV values. The PET scanners of this study showed different behaviors of SV in relation to RM. Increased SV could lead to degradation of precision in quantitative oncological studies with [F-18] FDG for monitoring treatment response.
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