Skip to main content
Log in

Advances in Digital PET Technology and Its Potential Impact on Myocardial Perfusion and Blood Flow Quantification

  • Nuclear Cardiology (V Dilsizian, Section Editor)
  • Published:
Current Cardiology Reports Aims and scope Submit manuscript

Abstract

Purpose of Review

In this review, we explore the development of digital PET scanners and describe the mechanism by which they work. We dive into some technical details on what differentiates a digital PET from a conventional PET scanner and how such differences lead to better imaging characteristics. Additionally, we summarize the available evidence on the improvements in the images acquired by digital PET as well as the remaining pitfalls. Finally, we report the comparative studies available on how digital PET compares to conventional PET, particularly in the quantification of coronary blood flow.

Recent Findings

The advent of digital PET offers high sensitivity and time-of-flight (TOF), which allow lower activity and scan times, with much less risk of detector saturation. This allows faster patient throughput, scanning more patients per generator, and acquiring more consistent image quality across patients. The higher sensitivity captures more of the potential artifacts, particularly motion-related ones, which presents a current challenge that still needs to be tackled.

Summary

The digital silicon photomultiplier (SiPM) positron emission tomography (PET) machine has been an important development in the technological advancements of non-invasive nuclear cardiovascular imaging. It has enhanced the utility for PET myocardial perfusion imaging (MPI) and myocardial blood flow (MBF) quantification.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Abbreviations

PET:

Positron emission tomography

MPI:

Myocardial perfusion imaging

MBF:

Myocardial blood flow

SiPM:

Silicon photomultiplier

TOF:

Time of flight

CAD:

Coronary artery disease

CMD:

Coronary microvascular dysfunction

PMT:

Photomultiplier tube

SPAD:

Single-photon avalanche diode

DPC:

Digital photon counter

FOV:

Field of view

MFR:

Myocardial blood flow reserve

MACE:

Major adverse cardiovascular event

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. Al-Mallah MH, Sitek A, Moore SC, Di Carli M, Dorbala S. Assessment of myocardial perfusion and function with PET and PET/CT. J Nucl Cardiol. 2010;17:498–513.

    Article  PubMed  PubMed Central  Google Scholar 

  2. El-Tallawi KC, Aljizeeri A, Nabi F, Al-Mallah MH. Myocardial perfusion imaging using positron emission tomography. Methodist Debakey Cardiovasc J. 2020;16:114–21.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Khalaf S, Chamsi-Pasha M, Al-Mallah MH. Assessment of myocardial viability by PET. Curr Opin Cardiol. 2019;34:466–72.

    Article  PubMed  Google Scholar 

  4. Case JA, deKemp RA, Slomka PJ, Smith MF, Heller GV, Cerqueira MD. Status of cardiovascular PET radiation exposure and strategies for reduction: an information statement from the cardiovascular PET Task Force. J Nucl Cardiol. 2017;24:1427–39.

    Article  PubMed  Google Scholar 

  5. Bateman TM, Dilsizian V, Beanlands RS, DePuey EG, Heller GV, Wolinsky DA. American Society of Nuclear Cardiology and Society of Nuclear Medicine and Molecular Imaging Joint Position Statement on the Clinical Indications for Myocardial Perfusion PET. J Nucl Cardiol. 2016;23:1227–31.

    Article  PubMed  Google Scholar 

  6. Ziadi MC, Dekemp RA, Williams K, et al. Does quantification of myocardial flow reserve using rubidium-82 positron emission tomography facilitate detection of multivessel coronary artery disease? J Nucl Cardiol. 2012;19:670–80.

    Article  PubMed  Google Scholar 

  7. Murthy VL, Bateman TM, Beanlands RS, et al. Clinical quantification of myocardial blood flow using PET: joint position paper of the SNMMI Cardiovascular Council and the ASNC. J Nucl Med. 2018;59:273–93.

    Article  CAS  PubMed  Google Scholar 

  8. Murthy VL, Naya M, Foster CR, et al. Improved cardiac risk assessment with noninvasive measures of coronary flow reserve. Circulation. 2011;124:2215–24.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Schindler TH. Myocardial perfusion PET for detection and reporting of coronary microvascular dysfunction: a consensus expert panel statement. J Am Coll Cardiol Img 2023.

  10. Doherty JU, Kort S, Mehran R, Schoenhagen P, Soman P. ACC/AATS/AHA/ASE/ASNC/HRS/SCAI/SCCT/SCMR/STS 2017 Appropriate Use Criteria for Multimodality Imaging in Valvular Heart Disease: A Report of the American College of Cardiology Appropriate Use Criteria Task Force, American Association for Thoracic Surgery, American Heart Association, American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Rhythm Society, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, and Society of Thoracic Surgeons. J Am Coll Cardiol. 2017;70:1647–72.

    Article  PubMed  Google Scholar 

  11. Tarkin JM, Chen W, Dweck MR, Dilsizian V. Molecular imaging of valvular diseases and cardiac device infection. Circ Cardiovasc Imaging. 2023;16: e014652.

    Article  PubMed  Google Scholar 

  12. Dilsizian V, Budde RPJ, Chen W, Mankad SV, Lindner JR, Nieman K. Best practices for imaging cardiac device-related infections and endocarditis: a JACC: Cardiovascular Imaging Expert Panel Statement. JACC Cardiovasc Imaging. 2022;15:891–911.

    Article  PubMed  Google Scholar 

  13. Kim J, Feller ED, Chen W, Liang Y, Dilsizian V. FDG PET/CT for early detection and localization of left ventricular assist device infection: impact on patient management and outcome. JACC Cardiovasc Imaging. 2019;12:722–9.

    Article  CAS  PubMed  Google Scholar 

  14. Tahari AK, Lee A, Rajaram M, et al. Absolute myocardial flow quantification with (82)Rb PET/CT: comparison of different software packages and methods. Eur J Nucl Med Mol Imaging. 2014;41:126–35.

    Article  PubMed  Google Scholar 

  15. Nesterov SV, Deshayes E, Sciagra R, et al. Quantification of myocardial blood flow in absolute terms using (82)Rb PET imaging: the RUBY-10 Study. JACC Cardiovasc Imaging. 2014;7:1119–27.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Renker D. New trends on photodetectors. Nucl Instrum Methods Phys Res, Sect A. 2007;571:1–6.

    Article  CAS  Google Scholar 

  17. Lewellen TK. Recent developments in PET detector technology. Phys Med Biol. 2008;53:R287-317.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Catana C, Wu Y, Judenhofer MS, Qi J, Pichler BJ, Cherry SR. Simultaneous acquisition of multislice PET and MR images: initial results with a MR-compatible PET scanner. J Nucl Med. 2006;47:1968–76.

    PubMed  Google Scholar 

  19. Vandenberghe S, Mikhaylova E, D’Hoe E, Mollet P, Karp JS. Recent developments in time-of-flight PET. EJNMMI Phys. 2016;3:3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Frach T, Prescher G, Degenhardt C, De Gruyter R, Schmitz A, Ballizany R. The digital silicon photomultiplier — principle of operation and intrinsic detector performance. 2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC). 2009.

  21. 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.

    Article  PubMed  Google Scholar 

  22. Mirzoyan R, Laatiaoui M, Teshima M. Very high quantum efficiency PMTs with bialkali photo-cathode. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2006;A:230–232.

  23. Roncali E, Cherry SR. Application of silicon photomultipliers to positron emission tomography. Ann Biomed Eng. 2011;39:1358–77.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Bondarenko G, Buzhan P, Dolgoshein B, Golovin V, Guschin E, Ilyin A, et al. Popova, K. Smirnov. Limited Geiger-mode microcell silicon photodiode: new results. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 187–192.

  25. Zhang J, Maniawski P, Knopp MV. Performance evaluation of the next generation solid-state digital photon counting PET/CT system. EJNMMI Res. 2018;8:97.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Hughes PJ, Herbert D, Stewart A, Jackson JC. Tiled silicon photomultipliers for large-area low-light sensing applications. Proc SPIE-Int Soc Opt Eng. 2007.

  27. Stewart AG, Greene-O'Sullivan E, Herbert DJ, Saveliev V, Quinlan F, Wall L, Hughes PJ, Mathewson A, Jackson JC. Study of the properties of new SPM detectors. Proc SPIE-Int Soc Opt Eng. 2006;6119:1–10.

  28. Espana S, Tapias G, Fraile LM, Herraiz JL, Vicente E, Udias J, et al. Performance evaluation of SiPM detectors for PET imaging in the presence of magnetic fields. IEEE Nucl Sci Symp Conf Rec. 2008:M02–4.

  29. Schaart DR, Charbon E, Frach T, Schulz V. Schulz. Advances in digital SiPMs and their application in biomedical imaging. Nuclear Instruments & Methods in Physics Research Section Accelerators, Spectrometers, Detectors and Associated Equipment. 2016;48:31–52.

  30. Baratto L, Park SY, Hatami N, et al. 18F-FDG silicon photomultiplier PET/CT: A pilot study comparing semi-quantitative measurements with standard PET/CT. PLoS ONE. 2017;12: e0178936.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Nguyen NC, Vercher-Conejero JL, Sattar A, et al. Image quality and diagnostic performance of a digital PET prototype in patients with oncologic diseases: initial experience and comparison with analog PET. J Nucl Med. 2015;56:1378–85.

    Article  CAS  PubMed  Google Scholar 

  32. Miller M, Zhang J, Binzel K, Griesmer J, Laurence T, Narayanan M,et al. Characterization of the Vereos Digital Photon Counting PET System. J Nucl Med. 2015;56:434.

  33. van Sluis J, de Jong J, Schaar J, et al. Performance characteristics of the digital biograph vision PET/CT system. J Nucl Med. 2019;60:1031–6.

    Article  PubMed  Google Scholar 

  34. Lecomte R. Novel detector technology for clinical PET. Eur J Nucl Med Mol Imaging. 2009;36(Suppl 1):S69-85.

    Article  PubMed  Google Scholar 

  35. Del Guerra A, Belcari N, Bisogni MG, LLosa G, Marcatili S, Ambrosi G, et al. Advantages and pitfalls of the silicon photomultiplier (SiPM) as photodetector for the next generation of PET scanners. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2010;617:223–226.

  36. Karp JS, Surti S, Daube-Witherspoon ME, Muehllehner G. Benefit of time-of-flight in PET: experimental and clinical results. J Nucl Med. 2008;49:462–70.

    Article  PubMed  Google Scholar 

  37. Conti M. Focus on time-of-flight PET: the benefits of improved time resolution. Eur J Nucl Med Mol Imaging. 2011;38:1147–57.

    Article  PubMed  Google Scholar 

  38. 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.

    Article  CAS  PubMed  Google Scholar 

  39. Surti S, Karp JS. Advances in time-of-flight PET. Phys Med. 2016;32:12–22.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Zhang JMM, Knopp MV. Performance evaluation of digital PET/CT: medical physics basis for the clinical applications. Med Phys. 2016;43:3399.

    Google Scholar 

  41. Li X, Qi W, Miyahara M, Kolthammer J. Performance characterization of an SiPM-based time-of-flight Canon PET/CT scanner. J Nucl Med. 2020;61.

  42. • Klein R, deKemp RA. Selection of PET camera and implications on the reliability and accuracy of absolute myocardial blood flow quantification. Curr Cardiol Rep. 2020;22:109. This was a helpful review, from two years ago, on the different technical challenges with PET cameras and scanners, their potential solutions, and the resultant implications, for cardiovascular PET imaging, particularly MPI and quantification of MBF.

    Article  PubMed  Google Scholar 

  43. • Van Dijk JD, Jager PL, Van Osch JAC, Khodaverdi M, Van Dalen JA. Comparison of maximal Rubidium-82 activities for myocardial blood flow quantification between digital and conventional PET systems. J Nucl Cardiol. 2019;26:1286–91. This study offered a very interesting comparison between three different systems for PET-based MBF quantification. Two of them were conventional PET scanners and the third was a digital PET scanner prototype.

    Article  PubMed  Google Scholar 

  44. Levin C, Peterson W, Ross S, Stearns C, Uribe J. PET performance as a function of axial field of view for a new silicon photomultiplier-based whole body TOF PET/CT system. J Nucl Med. 2016;57.

  45. Pan T, Einstein SA, Kappadath SC, et al. Performance evaluation of the 5-Ring GE Discovery MI PET/CT system using the national electrical manufacturers association NU 2–2012 Standard. Med Phys. 2019;46:3025–33.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Armstrong IS, Hayden C, Memmott MJ, Arumugam P. A preliminary evaluation of a high temporal resolution data-driven motion correction algorithm for rubidium-82 on a SiPM PET-CT system. J Nucl Cardiol. 2022;29:56–68.

    Article  PubMed  Google Scholar 

  47. •• Han Y, Ahmed AI, Hayden C, Jung AK, Saad JM, Spottiswoode B, et al. Change in positron emission tomography perfusion imaging quality with a data-driven motion correction algorithm. J Nucl Cardiol. 2022. A novel data-driven motion correction algorithm was developed and evaluated for cardiac PET imaging. When compared to non-corrected images, the developed algorithm allowed an improvement in quality. Physician interpretation was correlated with machine measurement of motion quantification. 

  48. DIETZ M, Kamani CH, Allenbach G, Rubimbura V, Fournier S, Lalonde MN, et al. Comparison of the prognostic value of global and regional myocardial flow capacity radius, myocardial flow reserve, and stress myocardial blood flow using Rubidium-82 with SiPM PET/CT. Preprint-Research Square. 2021.

  49. DIETZ M, Kamani CH, Allenbach G, Rubimbura V, Fournier S, Lalonde MN, et al. Prognostic value of myocardial flow capacity and global absolute perfusion measurements using Rubidium-82 with SiPM PET/CT. Annual Congress of the European Association of Nuclear Medicine October 15–19. Barcelona, Spain. Eur J Nucl Med Mol Imaging. 2022;2022(49):S67-68.

    Google Scholar 

  50. •• Ahmed AI, Al Rifai M, Alahdab F, Saad JM, Han Y, Alfawara MS, et al. Incremental prognostic value of digital positron emission tomography derived myocardial flow reserve: a prospective cohort study. Int J Cardiol. 2022. This study assessed the potential incremental prognostic prediction added by quantifying MFR using digital PET scanners. The result was a significantly improved discrimination coefficient using an MFR cutoff of 2 quantified by the digital PET machine.

  51. Lortie M, Beanlands RS, Yoshinaga K, Klein R, Dasilva JN, DeKemp RA. Quantification of myocardial blood flow with 82Rb dynamic PET imaging. Eur J Nucl Med Mol Imaging. 2007;34:1765–74.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mouaz H. Al-Mallah.

Ethics declarations

Conflict of Interest

Dr. Al-Mallah discloses research funding from Siemens and acts as a consultant to Jubilant. The rest of the authors have nothing to disclose.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Nuclear Cardiology

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alahdab, F., Al Rifai, M., Ahmed, A.I. et al. Advances in Digital PET Technology and Its Potential Impact on Myocardial Perfusion and Blood Flow Quantification. Curr Cardiol Rep 25, 261–268 (2023). https://doi.org/10.1007/s11886-023-01850-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11886-023-01850-5

Keywords

Navigation