Fig 1.
JS-10 phantom.
Fig 2.
NEMA IEC body phantom.
Table 1.
Evaluation index results for the JS-10 phantom.
Fig 3.
This count-based assessment was performed to validate the proportional response of the system, a prerequisite for SUV quantification. Left: Relationship between the Gaussian filter and concentration linearity at each collection time (SI product fixed at 120). Right: Concentration linearity with a change in the SI product (Gaussian filter fixed at 10 mm). SI, subsets and iterations.
Fig 4.
The graphs show the relative recovery coefficient (RCj) for individual rods of varying diameters. Left: Comparison of Gaussian filters when fixed at 100 s/view, an SI product of 120. Center: Comparison of SI products when fixed at 100 s/view with a Gaussian filter of 10 mm. Right: Comparison of acquisition times with a Gaussian filter of 10 mm and an SI product of 120. SI, subsets and iterations.
Fig 5.
Relationship between contrast, noise, and CNR.
CNR, contrast-to-noise ratio.
Fig 6.
SUVmax and SUVmean for each hot sphere when the Gaussian filter is changed.
(Left column) Gaussian filter: 8 mm; (Center column): 10 mm; (Right column): 12 mm. (Top row) SUVmax; (Bottom row) SUVmean. The red dashed line shows the theoretical SUV. SUV, standardized uptake value.