Figure 1.
Counting statistics (kilocounts per second (kcps)) for the 30 min acquisition with 2 bed positions for Day 0, 3, 5 and 7 measurement time points during 1 week and an empty phantom measurement.
Figure 2.
Transverse sections of the phantom reconstructed with 30 min-2 bed position, 30 min and 120 min single bed acquisitions and a matrix size of 400 and Gaussian filtering with FWHM of 5 mm for 21 subsets and 1–3 iterations of PSF TOF algorithms.
Note that the smallest sphere is an empty sphere [40].
Figure 3.
Convergence of the background (100 voxels) and lung insert (25 voxels) based on the transverse section through the axial center of the phantom, with the PSF TOF algorithm for the (A) 30 min-2 bed position acquisition and (B) 120 min-one bed position acquisition, reconstruction parameters: 1–12 iterations with 21 (TOF) subsets, 5 mm Gaussian filtering and an image matrix of 400.
Figure 4.
Convergence of the hot spheres (central 4 voxels in each sphere), with the PSF TOF algorithm for the (A) 30 min-2 bed position acquisition and (B) 120 min-one bed position acquisition, reconstruction parameters: 1–12 iterations with 21 (TOF) subsets, 5 mm Gaussian filtering and an image matrix of 400.
Figure 5.
Recovery coefficients from day 0 acquisition for PSF TOF to demonstrate the effect of different acquisition times.
Reconstruction parameters: 1 iteration, 21 (TOF) subsets, and image matrix of 400 and Gaussian filtering of 5 mm.
Figure 6.
Recovery coefficients from day 0 acquisition for spheres with diamters (L to R: 13 mm, 17 mm, 22 mm, 28 mm and 37 mm) for OSEM TOF, PSF TOF, OSEM and PSF alogorithms respectively.
Reconstruction parameters: 1 iteration, 24 and 21 (TOF) subsets, image matrix of 400 and Gaussian filtering of 5 mm.