Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-27T19:35:07.131Z Has data issue: false hasContentIssue false

A computer model of broad beam transmission through lead material for γ rays and X-rays of different energies

Published online by Cambridge University Press:  15 September 2010

Saud H. Al-lehyani*
Affiliation:
Department of Physics, Faculty of Applied Sciences, Umm Al-Qura University, Makkah, Kingdom of Saudi Arabia
*
Correspondence to: Saud H. Al-lehyani, Department of Physics, Faculty of Applied Sciences, Umm Al-Qura University, Makkah, P.O. Box. 10130, Kingdom of Saudi Arabia. Email: [email protected]

Abstract

In radiotherapy, the radiation beam is sometimes shaped so as to deliver different doses to different organs or give a homogeneous dose to structures of different densities. This objective is achieved by the use of attenuating materials introduced into the radiation beam. These attenuators alter the primary as well as the scattered radiation components of the beam and there is at present no accurate method of dose calculation for these situations. Most calculations are performed considering only the effect of the attenuators on the primary radiation beam and can produce large errors in dosimetry. In this study, the broad-beam attenuation is investigated in homogeneous phantoms for various radiation field sizes, photon beam energies and depths in phantom. A mathematical method taking account of primary as well as first scattered radiation is developed. This method predicts reasonably well the transmission through lead attenuators for various experimental conditions.

Type
Original Article
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Attix, FH. Introduction to Radiological Physics and Radiation Dosimetry, 1st ed. Wiley-Interscience: New York, 1986.CrossRefGoogle Scholar
2.Fano, U. γ-ray attenuation part II – analysis of penetration. Nucleonics 1953; 11: 55.Google Scholar
3.Berger, MJ, Doggett, J. Reflection and transmission of gamma radiation by barrier semianalytic Monte Carlo calculation. J Res Nati Bur Stand 1956; 56: 89.CrossRefGoogle Scholar
4.Peebles, GH, Glenn, H, Plesset, MS. Phys Rev 1951; 81: 430.CrossRefGoogle Scholar
5.Marayama, Y, Kumamoto, Y, Kato, Y. Health Phys 1951; 20: 430.Google Scholar
6.McCaffrey, JP, Shen, H, Downton, B, Mainegra-Hing, E. Ionizing Radiation Standards. National Research Council of Canada: Ottawa, Ontario, Canada, Med Phys 2007; 34(2): 530537.Google Scholar
7.Jaradat, Adnan, K, Biggs, Peter, J, Tenth Value Layers for C0-60 Gamma Rays and for 4, 6, 10, 15 and 18MeV x-Rays in between 0 (Degree) and 14(Degree)Calculated by Monte Carlo Simulation. Health Phys 2007; 92(5): 456463.CrossRefGoogle Scholar
8.Huang, PH, Chin, LM, Bjarngard, BE. Scattered photons produced by beam-modifying filter. Med Phys 1986; 13: 57.Google Scholar
9.Al-Ghorabie, FH. Broad beam attenuation of Cobalt-60 gamma rays and 6-, 18-, and 25-MV X-rays by lead. Appl Radiat Isot, submitted for publication.Google Scholar
10.Determination of absorbed dose in a patient irradiated by beams of X- or γ-rays in radiotherapy procedures, ICRU Report No. 24, (1976).Google Scholar
11.Raeside, DE. Monte Carlo principles and applications. Phys Med Biol 1976; 21: 181.CrossRefGoogle Scholar
12.Zaidi, H. Relevance of accurate Monte Carlo modeling in nuclear medical imaging. Med Phys 1999; 26: 574.CrossRefGoogle ScholarPubMed
13.Andreo, P. Monte Carlo techniques in radiation physics. Phys Med Biol 1991; 36: 861.CrossRefGoogle ScholarPubMed
14.Briesmeister, JF. MCNP—a general Monte Carlo N-particle transport code. Report LA-12625, Los Alamos, Los Alamos National Laboratory, USA, 1998.Google Scholar
15.Wong, JW, Henkelman, RM, Fenster, A, Johns, HE. Method for making absorbed dose calculation in heterogeneous medium using equations of differential scatter-air ratio and differential back scatter factor based on the density scaling theroem. Med Phys 1981; 8: 775.CrossRefGoogle Scholar
16.Mackie, TR. Monte Carlo calculations (private communication).Google Scholar
17.Mohan, R, Chui, C. Energy and angular distributions of photons from medical linear accelerator. Med Phys 1985; 12: 592.CrossRefGoogle Scholar
18.Johns, HE, Cunningham, JR. The Physics of Radiology, 4th ed. Thomas: Springfield, IL, 1983.Google Scholar
19.Storm, E, Israel, HI. Nuclear Data Tables 1970; A7: 565.CrossRefGoogle Scholar
20.Rawlinson, JA, Johns, HE. Percentage depth dose for high energy x-ray beams in radiotherapy. Am J Roentgenol Radiat Ther Nucl Med 1973; 118: 919.CrossRefGoogle ScholarPubMed
21.Joshi, CP, Darko, J, Vidyasagar, PB, Schreiner, LJ. Investigation of an efficient source design for Cobalt-60-based tomotherapy using EGSnrc Monte Carlo simulations. Phys Med Biol 2008; 53: 575592.CrossRefGoogle ScholarPubMed