Improvement in PET/CT image quality in overweight patients with PSF and TOF

Takafumi Taniguchi, Go Akamatsu, Yukiko Kasahara, Katsuhiko Mitsumoto, Shingo Baba, Yuji Tsutsui, Kazuhiko Himuro, Shohei Mikasa, Daisuke Kidera, Masayuki Sasaki

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)


Methods: This study consisted of a phantom study and a clinical study. The NEMA IEC body phantom and a 40 cm diameter large phantom (LG phantom) simulating an overweight patient were used in this study. Both phantoms were filled with 18F solution with a sphere to background ratio of 4:1. The PET data were reconstructed with the baseline ordered-subsets expectation maximization (OSEM) algorithm, with the OSEM + PSF model, with the OSEM + TOF model and with the OSEM + PSF + TOF model. The clinical study was a retrospective analysis of 66 patients who underwent 18F-FDG PET/CT. The image quality was evaluated using the background variability (coefficient of variance, CVphantom and CVliver) and the contrast (CONTHOT and SNR).

Results: In phantom study, the CVphantom of the LG phantom was higher than that of the NEMA phantom. The PSF decreased the CVphantom of the LG phantom to the NEMA phantom level. The TOF information accelerated the CVphantom plateau earlier. The best relationship between the CVphantom and the CONTHOT was observed for the OSEM + PSF + TOF. In clinical study, the combination of PSF and TOF decreased the CVliver for overweight patients to that for normal weight patients while it increased the SNR similarly between two patient groups.

Conclusion: The combination of the PSF and TOF correction improved the image quality of the LG phantom and overweight patients.

Objective: The aim of this study was to evaluate the effect of the point spread function (PSF) and time of flight (TOF) on PET/CT images of overweight patients in relation to the iteration number and the acquisition time.

Original languageEnglish
Pages (from-to)71-77
Number of pages7
JournalAnnals of Nuclear Medicine
Issue number1
Publication statusPublished - Jan 1 2015

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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