Impact of point spread function on image quality and SUV in FDG PET imaging

Objective To discuss the impact of an iterative reconstruction algorithm (True X) implemented with point spread function (PSF) on image quality and SUV in 18F-FDG PET, and compare with other reconstruction algorithms. Methods A total of 79 hypermetabolic lesions from 37 cancer patients (23 males, 14 females, age (63.38±15.25) years) were retrospectively studied. The PET images were reconstructed using the following six reconstruction algorithms, including FBP, FBP+ TOF, iteration, iteration+ TOF, True X, True X+ TOF. Paired t test was used for statistical analysis. Results All six reconstruction algorithms showed significant difference in lesion SUVmax. The adoption of PSF increased SUVmax by 15%-16%, and decreased the dispersion of SUV in the liver parenchyma remarkably. Conclusions Lesion SUVmax calculated from different reconstruction algorithms has significant differences. Caution should be taken in using PSF, as it can improve image quality but may also increase lesion SUVmax. Key words: Positron-emission tomography; Image processing, computed-assisted; Point spread function; Deoxyglucose