Abstract
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.
Similar content being viewed by others
References
Boellaard R, Delgado-Bolton R, Oyen WJG, et al. FDG PET/CT: EANM procedures guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42:328–54.
Wahl RL, Jacene H, Kasamon Y, Lodge MA. From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors. J Nucl Med. 2009;50(Suppl 1):122S–S150150.
Slomka PJ, Pan T, Germano G. Recent advances and future progress in PET instrumentation. Semin Nucl Med. 2016;46:5–19.
Hsu DFC, Ilan E, Peterson WT, Uribe J, Lubberink M, Levin CS. Studies of a next-generation silicon-photomultiplier–based time-of-flight PET/CT system. J Nucl Med. 2017;58:1511–8.
Melcher CL. Scintillation crystals for PET. J Nucl Med. 2000;41:1051–5.
Pepin CM, Berard P, Perrot AL, Pepin C, Houde D, Lecomte R, et al. Properties of LYSO and recent LSO scintillators for phoswich PET detectors. IEEE Trans Nucl Sci. 2004;51(3):789–95.
Everaert H, Vanhove C, Lahoutte T, Muylle K, Caveliers V, Bossuyt A, et al. Optimal dose of 18F-FDG required for whole-body PET using an LSO PET camera. Eur J Nucl Med Mol Imaging. 2003;30(12):1615–9.
Moses WW. Time of flight in PET revisited. IEEE Trans Nucl Sci. 2003;50:1325–30.
Jakoby BW, Bercier Y, Conti M, Casey ME, Bendriem B, Townsend DW. Physical and clinical performance of the mCT time-of-flight PET/CT scanner. Phys Med Biol. 2011;56:2375–89.
Lois C, Jakoby BW, Long MJ, Hubner KF, Barker DW, Casey ME, et al. An assessment of the impact of incorporating time-of-flight information into clinical PET/CT imaging. J Nucl Med. 2010;51(2):237–45.
Ullah MN, Pratiwi E, Cheon J, Choi H, Yeom JY. Instrumentation for time-of-flight positron emission tomography. Nucl Med Mol Imaging. 2016;50:112–22.
Rahmim A, Qi J, Sossi V. Resolution modeling in PET imaging: theory, practice, benefits, and pitfalls. Med Phys. 2013;40(6):064301.
Tong S, Alessio AM, Kinahan PE. Noise and signal properties in PSF-based fully 3D PET image reconstruction: Jakoby BW, Bercier Y, Watson CC, Bendriem B, TOWNSEND DW. Performance characteristics of a new LSO PET/CT scanner with extended axial FOV and PSF reconstruction. IEEE Trans Nucl Sci. 2009;56:633–9.
Akamatsu G, Ishikawa K, Mitsumoto K, Taniguchi T, Ohya N, Baba S, et al. Improvement in PET/CT image quality with a combination of point-spread function and time-of-flight in relation to reconstruction parameters. J Nucl Med. 2012;53(11):1716–22.
Bellevre D, Blanc Fournier C, Switsers O, Dugué AE, Levy C, Allouache D, et al. Staging the axilla in breast cancer patients with 18F-FDG PET: how small are the metastases that we can detect with new generation clinical PET systems? Eur J Nucl Med Mol Imaging. 2014;41(6):1103–12.
Tong S, Alessio AM, Thielemans K, Stearns C, Ross S, Kinahan PE. Properties and mitigation of edge artifacts in PSF-based PET reconstruction. IEEE Trans Nucl Sci. 2011;58(5):2264–75.
Tsutsui Y, Awamoto S, Himuro K, Umezu Y, Baba S, Sasaki M. Edge artifacts in point spread function-based PET reconstruction in relation to object size and reconstruction parameters. Asia Ocean J Nucl Med Biol. 2017;5(2):134–43 (Spring).
MacDonald LR, Harrison RL, Alessio AM, Hunter WC, Lewellen TK, Kinahan PE. Effective count-rates for PET scanners with reduced and extended axial field of view. Phys Med Biol. 2011;56(12):3629–43.
Akamatsu G, Uba K, Taniguchi T, Mitsumoto K, Narisue A, Tsutsui Y, et al. Impact of time-of-flight PET/CT with a large axial OVOV of view for reducing whole-body acquisition time. J Nucl Med Technol. 2014;42(2):101–4.
Sonni I, Baratto L, Park S, et al. Initial experience with a SiPM-based PET/CT scanner: influence of acquisition time on image quality. EJNMMI Phys. 2018;5:9.
David S, Georgiou M, Fysikopoulos E, Loudos G. Evaluation of a SiPM array coupled to a Gd3Al2Ga3O12: Ce (GAGG:Ce) discrete scintillator. Phys Med. 2015;31(7):763–6.
Wagatsuma K, Miwa K, Sakata M, et al. Comparison between new-generation SiPM-based and conventional PMT-based TOF-PET/CT. Phys Med. 2017;42:203–10.
Gnesin S, Kieffer C, Zeimpekis K, et al. Phantom-based image quality assessment of clinical 18F-FDG protocols in digital PET/CT and comparison to conventional PMT-based PET/CT. EJNMMI Phys. 2020;7(1):1.
Kunnen B, Beijit C, Lam MGEH, et al. Comparison of the biograph vision and biograph mCT for quantitative 90Y PET/CT imaging for radioembolisation. EJNMMI Phys. 2020;7(1):14.
Surti S. Update on time-of-flight PET imaging. J Nucl Med. 2015;56:98–105.
van Sluis J, de Jong J, Schaar J, et al. Performance characteristics of the digital biograph vision PET/CT system. J Nucl Med. 2019;60(7):1031–6.
van Sluis J, Boellaard R, Somasundaram A, et al. Image quality and semi-quantitative measurements of the Siemens biograph vision PET/CT: initial experiences and comparison with Siemens Biograph mCT PET/CT. J Nucl Med. 2020;61(1):129–35.
Fukukita H, Suzuki K, Matsumoto K, et al. Japanese guideline for the oncology FDG-PET/CT data acquisition protocol: synopsis of version 2.0. Ann Nucl Med. 2014;28(7):693–705.
Chen YM, Huang G, Sun XG, et al. Optimizing delayed scan time for FDG PET: comparison of the early and late delayed scan. Nucl Med Commun. 2008;29(5):425–30.
Conti M, Bendriem B. The new opportunities for high time resolution clinical TOF PET. Clin Transl Imaging. 2019;7(2):139–47.
Al-Faham Z, Jolepalem P, Rydberg J, et al. Optimizing 18F-FDG uptake time before imaging improves the accuracy of PET/CT in liver lesions. J Nucl Med Technol. 2016;44(2):70–2.
Vandenberghe S, Mikhaylova E, D’Hoe E, Mollet P, Karp JS. Recent developments in time-offlight PET. EJNMMI Phys. 2016;3:3.
Jaskowiak CJ, Bianco JA, Perlman SB, et al. Influence of reconstruction iterations on 18F-FDG PET/CT standardized uptake values. J Nucl Med. 2005;46(3):424–8.
Tong S, Alessio AM, Kinahan PE. Noise and signal properties in PSF-based fully 3D PET image reconstruction: an experimental evaluation. Phys Med Biol. 2010;55(5):1453–73.
Acknowledgements
The authors thank the staff of division of radiology, department of medical technology, Kyushu University Hospital for valuable support.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Tsutsui, Y., Awamoto, S., Himuro, K. et al. Evaluating and comparing the image quality and quantification accuracy of SiPM-PET/CT and PMT-PET/CT. Ann Nucl Med 34, 725–735 (2020). https://doi.org/10.1007/s12149-020-01496-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12149-020-01496-1