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Radiation and Environmental Biophysics

, Volume 46, Issue 3, pp 215–220 | Cite as

Monte Carlo-based calculation of imaging plate response to 90Sr in teeth: experimental validation of the required correction on sample thickness

  • Kenichi Tanaka
  • Satoru Endo
  • Shin Toyoda
  • Eldana Tieliewuhan
  • Alex Romanyukha
  • Masaharu Hoshi
Original Paper

Abstract

Recently, a numerical method was proposed to correct the imaging plate (IP) response to 90Sr concentration in tooth samples, depending on the sample thickness. This is important to quantify any 90Sr concentration in teeth, which in turn is necessary to determine any 90Sr incorporation of a person retrospectively. Although the final goal will be to evaluate the (inhomogeneous) spatial distribution of 90Sr inside tooth samples precisely, the present study was restricted—as a first step—to the evaluation of 90Sr in teeth assuming a uniform 90Sr distribution. A numerical method proposed earlier was validated experimentally in the present study by measuring the IP response to standard sources of various thicknesses and 90Sr concentrations. For comparison, the energy deposition of the β-rays emitted by 90Sr in the IP—which is considered to be proportional to the IP luminescence signal—was calculated for the various sample thicknesses involved, by means of the MCNP-4C code. As a result, the measured IP response could be reproduced by the calculations within the uncertainties, depending on the thickness of the standard sources. Thus, the validity of the proposed numerical method to correct the IP response for sample thickness has successfully been demonstrated.

Keywords

Electron Spin Resonance Sample Thickness Modification Factor Imaging Plate 90Sr Concentration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

Part of the present study was supported by Grant-in-Aid for Scientific Research from the Japan Society for the Promotion of Science under grant #15406002 and #17406001, awarded to Prof M. Hoshi, Hiroshima University. The authors express their sincere appreciation to Mr. Kazuhide Kitagawa, Mr. Shinji Suga, and Mr. Shingo Sasatani, Hiroshima University, for their support in the experiment using imaging plate, and to Mr. Takahisa Yamane of Fujifilm Co. Ltd for his support in the Monte Carlo calculations.

References

  1. 1.
    Mokrov YG (2004) External radiation exposure of residents living close to the Mayak facility: main sources, dose estimates, and comparison with earlier assessments. Radiat Environ Biophys 43:127–139CrossRefGoogle Scholar
  2. 2.
    Howard BJ, Semioschkina N, Voigt G, Mukusheva M, Clifford J (2004) Radiostrontium contamination of soil and vegetation within the Semipalatinsk test site. Radiat Environ Biophys 43:285–292CrossRefGoogle Scholar
  3. 3.
    Li WB, Hollriegl V, Roth P, Oeh U (2006) Human Biokinetics of strontium. Part I: intestinal absorption rate and its impact on the dose coefficient of 90Sr after ingestion. Radiat Environ Biophys 43:115–124CrossRefGoogle Scholar
  4. 4.
    Putyatin YV, Seraya TM, Petrykevich OM, Howard BJ (2006) Comparison of the accumulation of 137Cs and 90Sr by six spring wheat varieties. Radiat Environ Biophys 44:289–298CrossRefGoogle Scholar
  5. 5.
    Bjornstad HE, Lien HN, Fuyu Y, Salbu B (1992) Determination of 90Sr in environmental and biological materials with combined HDEHP solvent extraction-low liquid scintillation counting technique. J Radioanal Nucl Chem 156(1):165–173CrossRefGoogle Scholar
  6. 6.
    Kuleva YD, Polikarpova GG, Prigodeyb EV, Assimakopoulos PA (1994) Strontium-90 concentrations in human teeth in South Ukraine, 5 years after the Chernobyl accident. Sci Total Environ 155(3):215–219CrossRefGoogle Scholar
  7. 7.
    Kozheurov VP, Degteva M (1994) Dietary intake evaluation and dosimetric modelling for the Techa River residents based on in vivo measurements of strontium-90 in teeth and skeleton. Sci Total Environ 142(1–2):63–72CrossRefGoogle Scholar
  8. 8.
    Stamoulis KC, Assimakopoulos PA, Ioannides KG, Johnson E, Soucacos PN (1994) Strontium-90 concentration measurements in human bones and teeth in Greece. Sci Total Environ 229(3):165–182CrossRefGoogle Scholar
  9. 9.
    Tanaka K, Endo S, Ivannikov A, Toyoda S, Tieliewuhan E, Zhumadilov K, Miyazawa C, Suga S, Kitagawa K, Hoshi M (2006) Study on influence of X-ray baggage scan on ESR dosimetry for SNTS using human tooth enamel. J Radiat Res 47:A81–A83CrossRefGoogle Scholar
  10. 10.
    Toyoda S, Imata H, Romanyukha A, Hoshi M (2006) Toward high sensitivity ESR dosimetry of mammal teeth: the effect of chemical treatment. J Radiat Res 47:A71–A74CrossRefGoogle Scholar
  11. 11.
    Ivannikov A, Zhumadilov K, Tieliewhan E, Apsalikov K, Jiao L, Apsalikov K, Berekenova G, Zhumadilov Z, Toyoda S, Miyazawa C, Skvortsov V, Stepanenko V, Hoshi M (2006) Radiation dose reconstruction by tooth enamel EPR dosimetry for population of Dolon and Mostik settlements placed in vicinity of the radioactive fallout trace of the most contaminating nuclear test in the Semipalatinsk nuclear test site. J Radiat Res 47:A39–A46CrossRefGoogle Scholar
  12. 12.
    Zhumadilov K, Ivannikov A, Skvortshov V, Stepanenko V, Zhumadilov Z, Endo S, Tanaka K, Hoshi M (2005) Tooth enamel EPR dosimetry: optimization of EPR spectra recording parameters and effect of sample mass on spectral sensitivity. J Radiat Res 46:435–442CrossRefGoogle Scholar
  13. 13.
    Romanyukha AA, Mitch MG, Lin Z, Nagy V, Coursey BM (2002) Mapping the distribution of 90Sr in teeth with a photostimulable phosphor imaging detector. Radiat Res 157:341–349CrossRefGoogle Scholar
  14. 14.
    Miyahara J (1989) The imaging plate: a new radiation image sensor. Chem Today 223:29–36Google Scholar
  15. 15.
    Simon L, Baverstock F, Lindholm C (2003) A summary of evidence on radiation exposures received near to the Semipalatinsk nuclear weapons test site in Kazakhstan. Health Phys 84:718–725CrossRefGoogle Scholar
  16. 16.
    Tieliewuhan E, Tanaka K, Toyoda S, Kadoma A, Endo S, Romanyukha A, Tarasov O, Hoshi M (2006) 90Sr concentration in cow teeth from south Ural region, Russia, using Monte Carlo simulation. J Radiat Res 47:A117–A120CrossRefGoogle Scholar
  17. 17.
    Fermi E, Physik Z (1934) In: Kabir PK (ed) The development of weak interaction theory. Gordon & Breach, New York, pp 88Google Scholar
  18. 18.
    Transport Methods Group in Los Alamos National Laboratory (1997) TSICC computer code collection MCNP4B Monte Carlo N-Particle Transport Code system CCC-660Google Scholar
  19. 19.
    Mori K, Hamaoka T (1994) Imaging plate-autoradiography system (BAS). Proteins Nucleic Enzymes 39(11):1877–1887Google Scholar

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Kenichi Tanaka
    • 1
  • Satoru Endo
    • 1
  • Shin Toyoda
    • 2
  • Eldana Tieliewuhan
    • 3
  • Alex Romanyukha
    • 4
  • Masaharu Hoshi
    • 1
  1. 1.Research Institute for Radiation Biology and MedicineHiroshima UniversityHiroshimaJapan
  2. 2.Department of Applied PhysicsOkayama University of ScienceOkayamaJapan
  3. 3.College of Mathematics, Physics and Information ScienceXinjiang Normal UniversityXinjiangChina
  4. 4.Department of RadiologyUniformed Services University of the Health SciencesBethesdaUSA

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