Prog Med Phys.  2025 Mar;36(1):1-7. 10.14316/pmp.2025.36.1.1.

A Novel Approach for Estimating the Effective Atomic Number Using Dual Energy

Affiliations
  • 1Department of Medicine, Yonsei University College of Medicine, Seoul, Korea
  • 2Medical Physics and Biomedical Engineering Lab (MPBEL), Yonsei University College of Medicine, Seoul, Korea
  • 3Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea
  • 4Ewha Medicine Research Institute, School of Medicine, Ewha Womans University, Seoul, Korea
  • 5Ewha Medical Artificial Intelligence Research Institute, Ewha Womans University College of Medicine, Seoul, Korea
  • 6Department of Radiation Oncology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea

Abstract

Purpose
This study aimed to present a novel method for estimating the effective atomic number (Zeff ) using dual-energy computed tomography (DECT) designed to improve accuracy and streamline clinical workflows by reducing computational complexity.
Methods
The proposed model leverages the DECT-derived mass attenuation coefficients without detailed compositional analysis. By incorporating additional parameters into the conventional Rutherford model, such as exponential and trigonometric functions, the model effectively captures complex variations in attenuation, enabling precise Zeff estimation. Model fitting was performed using dual-energy data and evaluated using the percentage difference in error rates.
Results
Compared with the Rutherford model, which recorded a maximum error rate of 0.55%, the proposed model demonstrated a significantly lower maximum error rate of 0.15%, highlighting its precision. Zeff estimates for various materials closely matched the reference values, confirming the improved accuracy of the model.
Conclusions
The proposed DECT-based model provides a practical and efficient approach to Zeff estimation, with potential applications in radiation oncology, particularly for accurate stopping power ratio calculations in proton and heavy ion therapies.

Keyword

Effective atomic number; Dual-energy computed tomography; Stopping power ratio; Radiation oncology; Proton therapy

Figure

  • Fig. 1 Fitting result of the Rutherford model. (a) Percentage difference between NIST data and model fitting at 50 keV and 100 keV as a function of atomic number (Z); (b) Mass attenuation coefficient per Z/A (μ) as a function of atomic number (Z) at 50 keV and 100 keV, with NIST data and fitting results.

  • Fig. 2 Fitting result of the proposed model. (a) Percentage difference between NIST data and model fitting at 50 keV and 100 keV as a function of atomic number (Z); (b) Mass attenuation coefficient per Z/A (μ) as a function of atomic number (Z) at 50 keV and 100 keV, with NIST data and fitting results.


Reference

References

1. Spiers FW. 1946; Effective atomic number and energy absorption in tissues. Br J Radiol. 19:52–63. DOI: 10.1259/0007-1285-19-218-52. PMID: 21015391.
Article
2. Jackson DF, Hawkes DJ. 1981; X-ray attenuation coefficients of elements and mixtures. Phys Rep. 70:169–233. DOI: 10.1016/0370-1573(81)90014-4.
Article
3. Liu T, Hong G, Cai W. 2021; A comparative study of effective atomic number calculations for dual-energy CT. Med Phys. 48:5908–5923. DOI: 10.1002/mp.15166. PMID: 34390593.
Article
4. Berger MJ, Hubbell JH. 1987. XCOM: photon cross sections on a personal computer. National Bureau of Standards. NBSIR 87-3597. DOI: 10.2172/6016002.
5. Hubbell JH, Seltzer SM. 1995. Tables of X-ray mass attenuation coefficients and mass energy-absorption coefficients 1 keV to 20 MeV for elements Z = 1 to 92 and 48 additional substances of dosimetric interest. National Institute of Standards and Technology;Gaithersburg: Available from: http://physics.nist.gov/PhysRefData/XrayMassCoef/cover.html. cited 2024 Nov 1. DOI: 10.6028/NIST.IR.5632.
6. Mayneord W. 1937; The significance of the roentgen. Acta Int Union Against Cancer. 2:271–282.
7. Hine GJ. 1952; The effective atomic numbers of materials for various gamma interactions. Phys Rev. 85:725–737.
8. Cho ZH, Tsai CM, Wilson G. 1975; Study of contrast and modulation mechanisms in X-ray/photon transverse axial transmission tomography. Phys Med Biol. 20:879–889. DOI: 10.1088/0031-9155/20/6/001. PMID: 1202507.
Article
9. Murty RC. 1965; Effective atomic numbers of heterogeneous materials. Nature. 207:398–399. DOI: 10.1038/207398a0.
Article
10. Brooks RA. 1977; A quantitative theory of the Hounsfield unit and its application to dual energy scanning. J Comput Assist Tomogr. 1:487–493. DOI: 10.1097/00004728-197710000-00016. PMID: 615229.
Article
11. Alvarez RE, Macovski A. 1976; Energy-selective reconstructions in X-ray computerized tomography. Phys Med Biol. 21:733–744. DOI: 10.1088/0031-9155/21/5/002. PMID: 967922.
12. Kalender WA, Perman WH, Vetter JR, Klotz E. 1986; Evaluation of a prototype dual-energy computed tomographic apparatus. I. Phantom studies. Med Phys. 13:334–339. DOI: 10.1118/1.595958. PMID: 3724693.
Article
13. Johnson TR, Krauss B, Sedlmair M, Grasruck M, Bruder H, Morhard D, et al. 2007; Material differentiation by dual energy CT: initial experience. Eur Radiol. 17:1510–1517. DOI: 10.1007/s00330-006-0517-6. PMID: 17151859.
Article
14. McCollough CH, Leng S, Yu L, Fletcher JG. 2015; Dual- and multi-energy CT: principles, technical approaches, and clinical applications. Radiology. 276:637–653. DOI: 10.1148/radiol.2015142631. PMID: 26302388. PMCID: PMC4557396.
Article
15. Goodsitt MM, Christodoulou EG, Larson SC. 2011; Accuracies of the synthesized monochromatic CT numbers and effective atomic numbers obtained with a rapid kVp switching dual energy CT scanner. Med Phys. 38:2222–2232. DOI: 10.1118/1.3567509. PMID: 21626956.
Article
16. Landry G, Seco J, Gaudreault M, Verhaegen F. 2013; Deriving effective atomic numbers from DECT based on a parameterization of the ratio of high and low linear attenuation coefficients. Phys Med Biol. 58:6851–6866. DOI: 10.1088/0031-9155/58/19/6851. PMID: 24025623.
Article
17. Saito M. 2012; Potential of dual-energy subtraction for converting CT numbers to electron density based on a single linear relationship. Med Phys. 39:2021–2030. DOI: 10.1118/1.3694111. PMID: 22482623.
Article
18. Bazalova M, Carrier JF, Beaulieu L, Verhaegen F. 2008; Dual-energy CT-based material extraction for tissue segmentation in Monte Carlo dose calculations. Phys Med Biol. 53:2439–2456. DOI: 10.1088/0031-9155/53/9/015. PMID: 18421124.
Article
19. Rutherford RA, Pullan BR, Isherwood I. 1976; Measurement of effective atomic number and electron density using an EMI scanner. Neuroradiology. 11:15–21. DOI: 10.1007/BF00327253. PMID: 934468.
Article
20. Hünemohr N, Krauss B, Tremmel C, Ackermann B, Jäkel O, Greilich S. 2014; Experimental verification of ion stopping power prediction from dual energy CT data in tissue surrogates. Phys Med Biol. 59:83–96. DOI: 10.1088/0031-9155/59/1/83. PMID: 24334601.
Article
21. Bourque AE, Carrier JF, Bouchard H. 2014; A stoichiometric calibration method for dual energy computed tomography. Phys Med Biol. 59:2059–2088. DOI: 10.1088/0031-9155/59/8/2059. PMID: 24694786.
Article
Full Text Links
  • PMP
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2025 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr