Log in

The technical development of photon-counting detector CT

  • Review
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Since 1971 and Hounsfield’s first CT system, clinical CT systems have used scintillating energy-integrating detectors (EIDs) that use a two-step detection process. First, the X-ray energy is converted into visible light, and second, the visible light is converted to electronic signals. An alternative, one-step, direct X-ray conversion process using energy-resolving, photon-counting detectors (PCDs) has been studied in detail and early clinical benefits reported using investigational PCD-CT systems. Subsequently, the first clinical PCD-CT system was commercially introduced in 2021. Relative to EIDs, PCDs offer better spatial resolution, higher contrast-to-noise ratio, elimination of electronic noise, improved dose efficiency, and routine multi-energy imaging. In this review article, we provide a technical introduction to the use of PCDs for CT imaging and describe their benefits, limitations, and potential technical improvements. We discuss different implementations of PCD-CT ranging from small-animal systems to whole-body clinical scanners and summarize the imaging benefits of PCDs reported using preclinical and clinical systems.

Key Points

Energy-resolving, photon-counting-detector CT is an important advance in CT technology.

Relative to current energy-integrating scintillating detectors, energy-resolving, photon-counting-detector CT offers improved spatial resolution, improved contrast-to-noise ratio, elimination of electronic noise, increased radiation and iodine dose efficiency, and simultaneous multi-energy imaging.

High-spatial-resolution, multi-energy imaging using energy-resolving, photon-counting-detector CT has been used in investigations into new imaging approaches, including multi-contrast imaging.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Abbreviations

ASIC:

Application-specific integrated circuits

CdTe:

Cadmium telluride

CZT:

Cadmium zinc telluride

EID:

Energy-integrating detector

FOV:

Field of view

PCD:

Photon-counting detector

UHR:

Ultra-high resolution

References

  1. Flohr T, Petersilka M, Henning A, Ulzheimer S, Ferda J, Schmidt B (2020) Photon-counting CT review. Phys Med 79:126–136

    PubMed  Google Scholar 

  2. Leng S, Bruesewitz M, Tao S et al (2019) Photon-counting detector CT: system design and clinical applications of an emerging technology. Radiographics 39:729–743

    PubMed  Google Scholar 

  3. Willemink MJ, Persson M, Pourmorteza A, Pelc NJ, Fleischmann D (2018) Photon-counting CT: technical principles and clinical prospects. Radiology 289:293–312

    PubMed  Google Scholar 

  4. Leng S, Rajendran K, Gong H et al (2018) 150-μm spatial resolution using photon-counting detector computed tomography technology: technical performance and first patient images. Invest Radiol 53:655–662

    PubMed  PubMed Central  Google Scholar 

  5. McCollough C, Rajendran K, Baffour F et al (2022) Clinical applications of photon counting detector CT. Eur Radiol. https://doi.org/10.1007/s00330-023-09596-y

  6. Symons R, Cork TE, Sahbaee P et al (2017) Low-dose lung cancer screening with photon-counting CT: a feasibility study. Phys Med Biol 62:202–213

    CAS  PubMed  Google Scholar 

  7. Yu Z, Leng S, Kappler S et al (2016) Noise performance of low-dose CT: comparison between an energy integrating detector and a photon counting detector using a whole-body research photon counting CT scanner. J Med Imaging 3:043503

    Google Scholar 

  8. Gutjahr R, Halaweish AF, Yu Z et al (2016) Human imaging with photon counting-based computed tomography at clinical dose levels: contrast-to-noise ratio and cadaver studies. Invest Radiol 51:421–429

    CAS  PubMed  PubMed Central  Google Scholar 

  9. Leng S, Zhou W, Yu Z et al (2017) Spectral performance of a whole-body research photon counting detector CT: quantitative accuracy in derived image sets. Phys Med Biol 62:7216–7232

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Muenzel D, Daerr H, Proksa R et al (2017) Simultaneous dual-contrast multi-phase liver imaging using spectral photon-counting computed tomography: a proof-of-concept study. Eur Radiol Exp 1:25

    PubMed  PubMed Central  Google Scholar 

  11. Symons R, Krauss B, Sahbaee P et al (2017) Photon-counting CT for simultaneous imaging of multiple contrast agents in the abdomen: an in vivo study. Med Phys 44:5120–5127

    PubMed  PubMed Central  Google Scholar 

  12. Danielsson M, Persson M, Sjölin M (2021) Photon-counting x-ray detectors for CT. Phys Med Biol 66:03tr01

    CAS  PubMed  Google Scholar 

  13. Persson M, Huber B, Karlsson S et al (2014) Energy-resolved CT imaging with a photon-counting silicon-strip detector. Phys Med Biol 59:6709–6727

    PubMed  Google Scholar 

  14. Fiederle M, Procz S, Hamann E, Fauler A, Frojdh C (2020) Overview of GaAs und CdTe pixel detectors using Medipix electronics. Cryst Res Technol 55:2000021

    CAS  Google Scholar 

  15. Kröger FA, De Nobel D (1955) XXIV. Preparation and electrical properties of CdTe single crystals. J Electron Control 1:190–202

    Google Scholar 

  16. Fougeres P, Siffert P, Hageali M, Koebel JM, Regal R (1999) CdTe and Cd1-xZnxTe for nuclear detectors: facts and fictions. Nucl Instrum Methods Phys Res Sect A-Accelerators Spectrometers Detectors Assoc Equip 428:38–44

    CAS  Google Scholar 

  17. Szeles C, Eissler EE (1997) Current issues of high-pressure Bridgman growth of semi-insulating CdZnTe. MRS Proc 487:3

    Google Scholar 

  18. Triboulet R (2015) Crystal growth by traveling heater method. In: Rudolph P (ed) Handbook of crystal growth. Elsevier, Boston, pp 459–504

    Google Scholar 

  19. Ballabriga R, Alozy J, Campbell M et al (2016) Review of hybrid pixel detector readout ASICs for spectroscopic X-ray imaging. J Instrum 11:P01007–P01007

    Google Scholar 

  20. Badea CT, Clark DP, Holbrook M, Srivastava M, Mowery Y, Ghaghada KB (2019) Functional imaging of tumor vasculature using iodine and gadolinium-based nanoparticle contrast agents: a comparison of spectral micro-CT using energy integrating and photon counting detectors. Phys Med Biol 64:065007

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Bennett JR, Opie AM, Xu Q et al (2014) Hybrid spectral micro-CT: system design, implementation, and preliminary results. IEEE Trans Biomed Eng 61:246–253

    PubMed  Google Scholar 

  22. Clark DP, Holbrook M, Lee CL, Badea CT (2019) Photon-counting cine-cardiac CT in the mouse. PLoS One 14:e0218417

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Cormode DP, Roessl E, Thran A et al (2010) Atherosclerotic plaque composition: analysis with multicolor CT and targeted gold nanoparticles. Radiology 256:774–782

    PubMed  PubMed Central  Google Scholar 

  24. Ronaldson JP, Zainon R, Scott NJ et al (2012) Toward quantifying the composition of soft tissues by spectral CT with Medipix3. Med Phys 39:6847–6857

    PubMed  Google Scholar 

  25. Scholz J, Birnbacher L, Petrich C et al (2020) Biomedical x-ray imaging with a GaAs photon-counting detector: a comparative study. APL Photonics 5:106108

    CAS  Google Scholar 

  26. Zainon R, Ronaldson JP, Janmale T et al (2012) Spectral CT of carotid atherosclerotic plaque: comparison with histology. Eur Radiol 22:2581–2588

    CAS  PubMed  Google Scholar 

  27. Baer K, Kieser S, Schon B et al (2021) Spectral CT imaging of human osteoarthritic cartilage via quantitative assessment of glycosaminoglycan content using multiple contrast agents. APL Bioeng 5:026101

    CAS  PubMed  PubMed Central  Google Scholar 

  28. Rajendran K, Löbker C, Schon BS et al (2017) Quantitative imaging of excised osteoarthritic cartilage using spectral CT. Eur Radiol 27:384–392

    PubMed  Google Scholar 

  29. Iwanczyk JS, Nygard E, Meirav O et al (2009) Photon counting energy dispersive detector arrays for x-ray imaging. IEEE Trans Nucl Sci 56:535–542

    PubMed  PubMed Central  Google Scholar 

  30. Forghani R, De Man B, Gupta R (2017) Dual-energy computed tomography physical principles, approaches to scanning, usage, and implementation: part 1. Neuroimaging Clin N Am 27:371-+

    PubMed  Google Scholar 

  31. Arenson J (2009) Clinical use of photon counting detectors in CTAAPM 51st Annual Meeting. AAPM, Anaheim, California, USA

  32. Romman Z (2009) Virtual non-contrast CT of the abdomen using a dual energy photon counting CT scanner: assessment of performance. Radiological Society of North America (RSNA) 95th Scientific Assembly and Annual Meeting. RSNA, Chicago, Illinois, USA

  33. Kappler S, Glasser F, Janssen S, Kraft E, Reinwand M (2010) A research prototype system for quantum-counting clinical CT. SPIE, Proc. SPIE 7622, Medical Imaging 2010: Physics of Medical Imaging, 76221Z. https://doi.org/10.1117/12.844238

  34. Kappler S, Hahn K, Henning A et al (2015) Towards high-resolution multi-energy CT: recent results from our whole-body prototype scanner with high-flux capable photon counting detector. The 3rd Workshop on medical applications of spectroscopic X-ray detectors CERN, Geneva, Switzerland

  35. Kappler S, Hannemann T, Kraft E et al (2012) First results from a hybrid prototype CT scanner for exploring benefits of quantum-counting in clinical CT. SPIE. Proc 8313, Medical Imaging 2012: Physics of Medical Imagining, 83130X. https://doi.org/10.1117/12.911295

  36. Kappler S, Henning A, Krauss B et al (2013) Multi-energy performance of a research prototype CT scanner with small-pixel counting detector. SPIE. Proc. SPIE 8668, Medical Imaging 2013: Physics of Medical Imaging, 86680O. https://doi.org/10.1117/12.2006747

  37. Kappler S, Henning A, Kreisler B, Schöeck F, Stierstorfer K, Flohr T (2014) Photon counting CT at elevated X-ray tube currents: contrast stability, image noise and multi-energy performance. SPIE. Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90331C.  https://doi.org/10.1117/12.2043511

  38. Leng S, Yu Z, Halaweish A et al (2016) Dose-efficient ultrahigh-resolution scan mode using a photon counting detector computed tomography system. J Med Imaging 3:043504

    Google Scholar 

  39. Zhou W, Bartlett DJ, Diehn FE et al (2019) Reduction of metal artifacts and improvement in dose efficiency using photon-counting detector computed tomography and tin filtration. Invest Radiol 54:204–211

    CAS  PubMed  PubMed Central  Google Scholar 

  40. Rajendran K, Voss BA, Zhou W et al (2020) Dose reduction for sinus and temporal bone imaging using photon-counting detector CT with an additional tin filter. Invest Radiol 55:91–100

    PubMed  PubMed Central  Google Scholar 

  41. Rajendran K, Petersilka M, Henning A et al (2021) Full field-of-view, high-resolution, photon-counting detector CT: technical assessment and initial patient experience. Phys Med Biol 66:205019

  42. Rajendran K, Petersilka M, Henning A et al (2022) First clinical photon-counting detector CT system: technical evaluation. Radiology 303:130–138

    PubMed  Google Scholar 

  43. Boccalini S, Si-Mohamed SA, Lacombe H et al (2022) First in-human results of computed tomography angiography for coronary stent assessment with a spectral photon counting computed tomography. Invest Radiol 57:212

    CAS  PubMed  Google Scholar 

  44. Si-Mohamed SA, Boccalini S, Lacombe H et al (2022) Coronary CT angiography with photon-counting CT: first-in-human results. Radiology 303:303–313

    PubMed  Google Scholar 

  45. Si-Mohamed S, Boccalini S, Rodesch PA et al (2021) Feasibility of lung imaging with a large field-of-view spectral photon-counting CT system. Diagn Interv Imaging 102:305–312

    PubMed  Google Scholar 

  46. Schmidt TG (2009) Optimal “image-based” weighting for energy-resolved CT. Med Phys 36:3018–3027

    PubMed  Google Scholar 

  47. Baek J, Pineda AR, Pelc NJ (2013) To bin or not to bin? The effect of CT system limiting resolution on noise and detectability. Phys Med Biol 58:1433–1446

    PubMed  Google Scholar 

  48. Shikhaliev PM, Fritz SG, Chapman JW (2009) Photon counting multienergy x-ray imaging: effect of the characteristic x rays on detector performance. Med Phys 36:5107–5119

    CAS  PubMed  Google Scholar 

  49. Taguchi K, Iwanczyk JS (2013) Vision 20/20: single photon counting x-ray detectors in medical imaging. Med Phys 40:100901

    PubMed  PubMed Central  Google Scholar 

  50. Ballabriga R, Campbell M, Heijne EHM, Llopart X, Tlustos L (2007) The medipix3 prototype, a pixel readout chip working in single photon counting mode with improved spectrometric performance. IEEE Trans Nucl Sci 54:1824–1829

    Google Scholar 

  51. Koenig T, Zuber M, Hamann E et al (2014) How spectroscopic x-ray imaging benefits from inter-pixel communication. Phys Med Biol 59:6195–6213

    PubMed  Google Scholar 

  52. Hsieh SS (2020) Coincidence counters for charge sharing compensation in spectroscopic photon counting detectors. IEEE Trans Med Imaging 39:678–687

    PubMed  Google Scholar 

  53. Hsieh SS, Sjolin M (2018) Digital count summing vs analog charge summing for photon counting detectors: a performance simulation study. Med Phys 45:4085–4093

    CAS  Google Scholar 

Download references

Acknowledgements

Portions of the work presented were supported by the National Institutes of Health under award number R01 EB028590. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. In-kind support was received from Siemens Healthineers, who owns the system uses for image acquisition under the terms of a sponsored research agreement with Mayo Clinic. The authors thank Mr. Kevin Kimlinger for his assistance with manuscript preparation.

Funding

This study has received funding by the NIH and Siemens Healthineers.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cynthia H. McCollough.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Cynthia H. McCollough, PhD.

Conflict of interest

Some authors of this manuscript declare relationships with the following companies:

• Karl Stierstorffer, PhD and Thomas Flohr, PhD are employees of Siemens Healthineers.

• Cynthia McCollough, PhD is the PI of a research grant to Mayo Clinic from Siemens Healthineers.

• Joel G. Fletcher, MD receives research support from a grant to Mayo Clinic from Siemens Healthineers.

Kishore Rajendran, PhD, is a member of the Scientific Editorial Board of European Radiology but has not taken part in the review or selection process of this article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional review board approval was obtained.

Methodology

review paper.

Additional information

Publisher's note

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

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

McCollough, C.H., Rajendran, K., Leng, S. et al. The technical development of photon-counting detector CT. Eur Radiol 33, 5321–5330 (2023). https://doi.org/10.1007/s00330-023-09545-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-023-09545-9

Keywords

Navigation