Evaluating and comparing the image quality and quantification accuracy of SiPM-PET/CT and PMT-PET/CT

Yuji Tsutsui, Shinichi Awamoto, Kazuhiko Himuro, Toyoyuki Kato, Shingo Baba, Masayuki Sasaki

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Objective: The aim of this study was to evaluate the image quality and the quantification accuracy of Biograph Vision PET/CT scanner as a SiPM-PET in comparison to the conventional PMT-PET, Biograph mCT PET/CT scanner. Methods: This study consisted of a phantom study and a retrospective clinical analysis where patients underwent 18F-FDG PET/CT in both PET systems. The body phantom of the NEMA IEC with 10–37 mm diameter spheres were filled with an 18F-FDG solution. The root mean square error (RMSE) of SUV, the detectability of 10-mm sphere, NECphantom, the background variability (N10mm) and the contrast-noise-ratio (QH,10 mm/N10mm) were calculated based on the phantom analysis. We also examined the quality of the acquired clinical images using the NECpatient, NECdensity, SNRliver, SUVliver and SUVlesion. Results: In the phantom study on Vision scanner, RMSE was relatively lower when the iteration number was 2, 3 or 4. To satisfy a visual score of 1.5 and the reference range of QH,10 mm/N10mm, a 60-s or longer acquisition was required. Our clinical findings show that NECpatient averaged 17.4 ± 1.72 Mcounts/m in mCT and 29.1 ± 2.83 Mcounts/m in Vision. Furthermore, NECdensity averaged 0.29 ± 0.05 kcounts/cm3 in mCT and 0.53 ± 0.09 kcounts/cm3 in Vision, respectively, whereas SNRliver averaged 14.6 ± 3.77% in mCT and 21.3 ± 1.69% in Vision (P = 0.0156), respectively. Finally, SUVliver averaged 2.82 ± 0.28 and 2.55 ± 0.30, SUVlesion ranged 1.6–17.6 and 1.9–22.9 in mCT and Vision, respectively. Conclusion: SiPM-PET/CT provides superior image quality and quantification accuracy compared to PMT-PET/CT.

Original languageEnglish
Pages (from-to)725-735
Number of pages11
JournalAnnals of Nuclear Medicine
Issue number10
Publication statusPublished - Oct 1 2020

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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