Data were reconstructed using two different methods: without resolution modelling (336 matrix, voxel size 2 × 2 × 2 mm3, 6 iterations, 21 subsets, 2-mm Gaussian filter, separate prompts/randoms) and with resolution modelling (336 matrix, voxel size 2 × 2 × 2 mm3, 4 iterations, 21 subsets, 2-mm Gaussian filter, separate prompts/randoms).
a VuePoint FX SharpIR with TOF and PSF (3 iterations, 24 subsets 4-mm 2D Gaussian filter, and [1, 1, 6] axial convolution filter, 192 × 192 matrix, voxel size 3.7 × 3.7 × 3.3 mm3) with moderate spatial resolution; and b VuePoint FX SharpIR with TOF and PSF (4 iterations, no post-filter, 256 × 256 matrix, voxel size 2.0 × 2.0 × 3.3 mm3) with higher spatial resolution.
PET data was reconstructed into a 128 × 128 matrix (voxel size: 1.40 × 1.40 × 2.03 mm3) using the built-in 3D ordered subset expectation maximization (OSEM) algorithm with 8 iterations, 21 subsets, and a 3-mm Gaussian filter.
For the Gemini TF-64 PET/CT, PET images were reconstructed onto a 144 × 144 image matrix (voxel size: 4.0 × 4.0 × 4.0 mm) using a row action maximum likelihood algorithm.
Data were reconstructed using TeraTomo software (Mediso medical imaging systems, Hungary), and a 3D Monte Carlo-based algorithm was used (64 × 64 matrix, voxel size in 0.47 × 0.47 × 0.47 mm3, 3 subsets and 48 iterations).
The dynamic PET data were reconstructed with resolution modelling, 336 × 336 matrix, voxel size 2 × 2 × 2 mm3, 4 iterations, 21 subsets, separate prompts/randoms, and a 2.0-mm FWHM Gaussian post reconstruction filter.
We made a PET reconstruction using a default 3D ordered-subset iterative TOF reconstruction technique with 144 × 144 matrices (voxel size 4 × 4 × 4 mm3), 3 iterations, 43 subsets and a relaxation parameter 1.0 ("normal" smoothing setting), consistent with the reconstruction setting suggestions in the EANM guideline [1].
Inverse Fourier Transform was used to reconstruct images for each of the 450 frame time points into 64×64×28 image matrices (voxel size: 3.75×3.75×4 mm).
Images were reconstructed in two types of matrices: 144 × 144 matrices with voxel size 4 × 4 × 4 mm3 (standard-voxels) and 288 × 288 matrices with voxel size 2 × 2 × 2 mm3 (small-voxels).
The scans were reconstructed using default parameters, the ordered subsets expectation maximization (OSEM) method with two iterations and five subsets into a 110 × 110 matrix with voxel size of 0.75 mm.
Each subject was scanned with a 3T MR scanner (GE) with a gradient-echo echo-planar imaging (EPI) sequence using the following parameters: 20 contiguous axial slices, slice thickness = 5 mm, echo time = 30 msec, repetition time = 2000 msec; field of view 24 cm; matrix 64×64, voxel size after normalization = 3.75 mm isotropic [40], [66].
