Ziel/Aim The potential for reducing the total acquisition time is particularly valuable for
prostate cancer patients undergoing Ga-68-PSMA PET/CT examinations enhancing patient
comfort, image quality, and throughput. The aim of this study is to optimise the acquisition
time in Ga-68-PSMA examinations on a digital Biograph Vision PET/CT using an abdominal
tumour phantom.
Methodik/Methods The phantom consists of 6 spheres with inner diameters of 6.5 to 28.0 mm. The phantom
was filled with sphere and background activity concentrations (ACs) that were derived
from clinical data. Phantom data were acquired in list mode with a duration of 10
min. Different image reconstructions with varying iterations and Gaussian filters
were performed, including emission data between 30 and 300 s in 30-s increments. A
reference image was reconstructed with 10 min emission time. Two figures of merit
(FoMs) were calculated. The detectability was assessed using the contrast-to-noise
ratio (CNR); a CNR equal or larger than 8 was considered to be sufficiently visible.
Quantification was assessed using the maximum AC (AC-max). The percentage AC-max deviations
were calculated between the images at different emission times and the reference image;
a percentage deviation range of ±20 % was considered acceptable.
Ergebnisse/Results Based on the clinical data, a signal-to-background ratio of 20:1 and a sphere AC
of 20 kBq/mL was selected. All spheres but the smallest one were detected in all reconstruction
algorithm types and emission times. The following FoMs are referring to the smallest
sphere. The optimised emission time was 60 s using OSEM+TOF or OSEM+TOF+PSF (4 iterations,
4 mm Gauss and 3.3 × 3.3x3.0 mm[3]voxel size). The FoMs at 60 s were CNROSEM+TOF=15 and CNROSEM+TOF+PSF=24; AC-max deviations were below 20 %
Schlussfolgerungen/Conclusions In our phantom study, acquisition time on a digital PET/CT can be reduced by a factor
of 2-3, while maintaining lesion detectability similar to our standard clinical protocol.
Impact of reduced acquisition time on patient comfort, image quality/pelvic urine
background, and throughput will be assessed in future clinical studies.