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All PET scans were acquired in 3D mode, with FOV diameter 50 cm; data were collected in list mode and reconstructed by the VUE-Point (General Electric, Milwaukee, USA) fully-3D iterative reconstruction algorithm, with 20 subsets by 2 iterations, 128 × 128 matrix.
All scans were acquired in 2D mode and reconstructed by OSEM iterative algorithm.
PET data were collected in three-dimensional imaging mode and reconstructed using a CT transmission map for attenuation correction with the ordered subsets expectation maximization (OSEM) algorithm (two iterations, eight subsets) and a 5-mm Gaussian filter.
Image acquisition was performed in three-dimensional (3D) mode and reconstructed using an iterative OSEM VUEPOINT algorithm (2 iterationsubsetsbsets, in a 128 × 128 matrix, zoom 50 cm in diameter).
PET images were acquired in three-dimensional (3D) mode and reconstructed iteratively using 3D-ordered subsets expectation maximization algorithm with two iterations and nine subsets followed by 18 iterations of maximum a posteriori reconstruction [17].
If two input frames are decoded by the skip mode, all the frames between them will be regarded as skip mode, and reconstructed by the SI generation algorithm, without any additional data.
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Reasonable agreement is demonstrated between structures in matched B-mode and reconstructed modulus images.
Data was acquired for 60 min after injection in list-mode and reconstructed using OSEM3D software (4 subsets, 32 iterations).
Data acquired during the "acquisition times" described in Table 1 were extracted from the list mode or dynamic mode data and reconstructed with specified or various parameters and post-filters.
A static 1-min image frame at 30 min after the bolus injection was extracted from the list mode data and reconstructed using 10 MLEM iterations.
The PET data were acquired in three-dimensional mode and were reconstructed by the baseline ordered-subsets expectation maximization bases, incorporating correction with point spread function and time-of-flight model (2 iterations, 21 subsets).
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