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Can the same dose data be estimated from phantoms withdifferent anatomies?

Published online by Cambridge University Press:  02 August 2013

K. Karimi Shahri ,
L. Rafat Motavalli  and
H. Miri Hakimabad
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Abstract

In this paper, the effect of additional adipose and muscle layers was investigated on theeffective dose and the organ absorbed dose. Calculations were performed using the MonteCarlo N-Particle Transport Code (MCNP) and the ORNL mathematical phantom for externalphoton and neutron beams. Variations in adipose and muscle tissue thickness were modeledby adding layers of adipose and soft tissues around the torso of the phantom. Theeffective dose decreased by about 7%–40% when the thickness of the extra layer increasedfrom 0.5 to 5 cm considering all photon energies (10 keV–10 MeV) and neutron energies(10–9–20 MeV) for anterior-posterior, posterior-anterior, left-lateral,right-lateral, rotation and isotropic irradiation geometries. The results calculated herewere compared with those reported in previous studies such as those of the VIPMAN,NORMAN05, MASH-3 and ICRP reference voxel phantoms. Our data shows that adding properadipose or muscle layers to two very different phantoms can cause similar effective dosevalues, and also more than half of the organ absorbed doses have satisfactoryagreement.

Keywords

effective doseorgan absorbed doseaddition of adipose layersconversion coefficientsORNL modified phantom
Type
Research Article
Information
Radioprotection , Volume 48 , Issue 4 , October 2013 , pp. 527 - 544
Copyright
© EDP Sciences, 2013

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References

REFERENCES

Babapour, F. et al. (2010) Statistical construction of a Japanese male liver phantom for internal radionuclide dosimetry, Radiat. Protect. Dosim. 141, 140-148.Google Scholar
Briesmeister J.F. (Ed.) (2000) MCNP – a general Monte Carlo N-particle transports code: version 4C. Report LA-13709-M, Los Alamos National Laboratory, Los Alamos, 1-427.
Bolch, W., Lee, C., Wayson, M., Johnson, P. (2010) Hybrid computational phantoms for medical dose reconstruction, Radiat. Environ. Biophys. 49, 155-68.Google ScholarPubMed
Bozkurt, A., Chao, T.C., Xu, X.G. (2000) Fluence to dose conversion coefficients from monoenergetic neutrons below 20 MeV based on the VIP-Man anatomical model, Phys. Med. Biol. 45, 3059-3079.Google Scholar
Caon, M. (2004) Voxel-based computational models of real human anatomy: a review, Radiat. Environ. Biophys. 42, 229-235.Google ScholarPubMed
Cassola, V.F., Lima, V.J.D., Kramer, R., Khoury, H.J. (2010a) FASH and MASH: female and male adult human phantoms based on polygon mesh surfaces: I. Development of the anatomy, Phys. Med. Biol. 55, 133-162.Google ScholarPubMed
Cassola, V.F., Kramer, R., Brayner, C., Khoury, H.J. (2010b) Posture-specific phantoms representing female and male adults in Monte Carlo-based simulations for radiological protection, Phys. Med. Biol. 55, 4399-4430.Google Scholar
Cassola, V.F., Milian, F.M., Kramer, R., de Oliveira Lira, C.A.B., Khoury, H.J. (2011) Standing adult human phantoms based on 10th, 50th and 90th mass and height percentiles of male and female Caucasian populations, Phys. Med. Biol. 56, 3749-3772.Google ScholarPubMed
Chao, T.C., Bozkurt, A., Xu, X.G. (2001) Conversion coefficients based on the vip-man anatomical model and EGS4-VLSI code for external monoenergetic photons from 10 keV to 10 MeV, Health Phys. 81, 163-183.Google Scholar
Cristy M., Eckerman K.F. (1987) Specific absorbed fractions of energy at various ages from internal photon sources, Oak Ridge, TN: Oak Ridge National Laboratory. ORNL/TM-8381/V1.
Eckerman K.F., Cristy M., Ryman J.C. (1996) The ORNL mathematical phantom series, informal paper, Oak Ridge, TN:Oak Ridge National Laboratory, available at http://homer.hsr.ornl.gov/ VLab/mird2.pdf.
Ferrari, P., Gualdrini, G. (2007) Fluence to organ dose conversion coefficients calculated with the voxel model NORMAN05 and the MCNPX Monte Carlo code for external monoenergetic photons from 20 keV to 100 MeV, Radiat. Protect. Dosim. 123, 295-317.Google ScholarPubMed
ICRP Publication 60 (1991) 1990 Recommendations of the International Commission on Radiological Protection, Pergamon, Oxford.
ICRP Publication 89 (2002) Basic Anatomical and Physiological Data for Use in Radiological Protection Reference Values, Pergamon.
ICRP Publication 103 (2007) The 2007 Recommendations of ICRP, Elsevier.
ICRP Publication 110 (2008) Adult Reference Computational Phantoms, Elsevier.
ICRP Publication 116 (2010) Conversion Coefficients for Radiological Protection Quantities for External Radiation Exposures, Elsevier.
Johnson, P., Lee, C., Johnson, K., Siragusa, D., Bolch, W. (2009) The influence of patient size on dose conversion coefficients: a hybrid phantom study for adult cardiac catheterization, Phys. Med. Biol. 54, 3613-3629.Google ScholarPubMed
Kramer R. (2012) External Male standing, http://www.caldose.org/CoeficientesDeConversaoDePeEng. aspx.
Lee, C., Lee, C., Lodwick, D., Bolch, W. (2006) A series of 4D pediatric hybrid phantoms developed from the UF series B tomographic phantoms, Med. Phys. 33, 2006-2007.Google Scholar
Lee, C., Lee, J.K. (2006) Computational anthropomorphic phantoms for radiation protection dosimetry: evolution and prospective, Nucl. Eng. Technol. 38, 239-250.Google Scholar
Lee, C., Lee, C., Eun, Y.H. (2007) Consideration of the ICRP 2006 revised tissue weighting factors on age-dependent values of the effective dose for external photons, Phys. Med. Biol. 52, 41-58.Google ScholarPubMed
Lee, C. et al. (2008) Hybrid computational phantoms of the male and female newborn patient: NURBS-based whole body models, Med. Phys. 35, 2366-2382.Google Scholar
Lee, C., Lodwick, D. (2008) Hybrid computational phantoms of the 15-year male and female adolescent: Applications to CT organ dosimetry for patients of variable morphometry, Med. Phys. 35, 2366-2382.Google Scholar
Lee, C., Lodwick, D., Hurtado, J., Pafundi, D., Bolch, W.E. (2010) The UF family of reference hybrid phantoms for computational radiation dosimetry, Phys. Med. Biol. 55, 339-363.Google ScholarPubMed
Manger, R.P., Bellamy, M.B., Eckerman, K.F. (2011) Dose conversation coefficients for neutron exposure to the lens of the human eye, Radiat. Protect. Dosim. 29, 1-7.Google Scholar
Murakami K., Uchiyama T. (2007) Bioelectrical Impedance Measurement of Subcutaneous Fat Thickness Using Apparent Resistivity. In: The 6th International Special Topic Conference on Information Technology Applications in Biomedicine, ITAB 2007, November 8-11, Tokyo, pp. 210-212.
Miri Hakimabad, H., Rafat Motavalli, L., Karimi Shahri, K. (2012) Different effective dose conversion coefficients for monoenergetic neutron fluence from 10-9 MeV to 20 MeV – A methodological comparative study, Radioprotection 47, 271-284.Google Scholar
Na, Y.H., Zhang, B., Zhang, J., Caracappa, P.F., Xu, X.G. (2010) Deformable adult human phantoms for radiation protection dosimetry: anthropometric data representing size distributions of adult worker populations and software algorithms, Phys. Med. Biol. 55, 3789-3811.Google ScholarPubMed
Petoussi-Henss, N., Zankl, M., Fill, U., Regulla, D. (2002) The GSF family of voxel phantoms, Phys. Med. Biol. 47, 89-106.Google ScholarPubMed
Sato, K., Endo, A. (2008) Analysis of effects of posture on organ doses by internal photon emitters using voxel phantoms, Phys. Med. Biol. 53, 4555-4572.Google ScholarPubMed
Sato, T., Endo, A., Zankl, M., Petoussi-Henss, N., Niita, K. (2009) Fluence-to-dose conversion coefficients for neutrons and protons calculated using the PHITS code and ICRP/ICRU adult reference computational phantoms, Phys. Med. Biol. 54, 1997-2014.Google ScholarPubMed
Schlattl, H., Zankl, M., Petoussi-Henss, N. (2007) Organ dose conversion coefficients for voxel models of the reference male and female from idealized photon exposures, Phys. Med. Biol. 52, 2123-2145.Google ScholarPubMed
Snyder W., Ford M., Warner G., Fisher H.J. (1978) Estimates of absorbed fractions for monoenergetic photon source uniformly distributed in various organs of a heterogeneous phantom Medical Internal Radiation Dose Committee (MIRD), Pamphlet No. 5, revised (New York: The Society of Nuclear Medicine).
Ulanovsky, A.V., Eckerman, K.F. (1998) Absorbed fractions for electron and photon emissions in the developing thyroid fetus to five years old, Radiat. Protect. Dosim. 79, 419-424.Google Scholar
Xu, X.G., Taranenko, V., Zhang, J., Shi, C. (2007) A boundary-representation method for designing whole-body radiation dosimetry models: pregnant females at the ends of three gestational periods-RPI-P3, -P6 and -P9, Phys. Med. Biol. 52, 7023-7044.Google ScholarPubMed
Xu X.G., Zhang J.Y., Na Y.H. (2008) Preliminary Data for Mesh-Based Deformable Phantom Development: Is it Possible to Design Person-Specific Phantoms On-demand, In: The 11th International Conference on Radiation Shielding, ICRS-11, April14-17, 2008, Georgia.
Xu X.G. (2010) Computational phantoms for radiation dosimetry: a 40-year history of evolution. In: Handbook of Anatomical Models for Radiation Dosimetry, (X.G. Xu, K.F. Eckerman, Eds.), chapter 1, pp. 3-41, Taylor and Francis, London.
Xu X.G., Liu T. (2011) Quantifying uncertainty in radiation protection dosimetry using statistical phantoms. In: The Third International Workshop on Computational Phantoms for Radiation Protection, Imaging and Radiotherapy, August 8-9, 2011, Tsinghua University, Beijing.
Zhang, J.Y., Na, Y.H., Xu, X.G. (2008a) Size Adjustable Worker Models for Improved Radiation Protection Dosimetry, Health Phys. 95, S50.Google Scholar
Zhang, J.Y., Na, Y.H., Xu, X.G. (2008b) Development of Whole-Body Phantoms Representing an Average Adult Male and Female Using Surface-Geometry Methods, Med. Phys. 35, 2875.Google Scholar