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Effects of density from various hip prosthesis materials on 6 MV photon beam: a Monte Carlo study

Published online by Cambridge University Press:  21 February 2017

M. Z. Abdul Aziz ,
F. N. Mohd Kamarulzaman ,
N. A. S. Mohd Termizi ,
N. Abdul Raof  and
A. A. Tajuddin
M. Z. Abdul Aziz*
Affiliation:
Oncological and Radiological Science Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
F. N. Mohd Kamarulzaman
Affiliation:
School of Physics, Universiti Sains Malaysia, Penang, Malaysia
N. A. S. Mohd Termizi
Affiliation:
School of Physics, Universiti Sains Malaysia, Penang, Malaysia
N. Abdul Raof
Affiliation:
Oncological and Radiological Science Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia
A. A. Tajuddin
Affiliation:
School of Physics, Universiti Sains Malaysia, Penang, Malaysia
*
Correspondence to: M. Z. Abdul Aziz, Oncological and Radiological Science Cluster, Advanced Medical and Dental Institute, Universiti Sains Malaysia, 13200 Kepala Batas, Penang, Malaysia. E-mail: [email protected]
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Abstract

In radiotherapy planning, computed tomography (CT) images are used to calculate the dose in the patient. However, a high density hip prosthesis can cause streaking artefacts in CT images, which make dose calculations for nearby organs inaccurate. This study aim to quantify the impact of a hip prosthesis on 6 MV photon beam dose distribution using the Monte Carlo (MC) simulation. To quantify the radiation dose at the hip prosthesis accurately, image processing techniques were used to generate CT images free from streak artefacts. MATLAB software was used to produce computer-generated phantoms consisting of bone, titanium, stainless steel and CoCrMo. Percentage depth dose (PDD) and beam profile were used to analyse the impact of the hip prosthesis on the dose distribution of the photon beam. PDD showed that the absorbed dose was reduced as the density of the material increased, and the dose was reduced by as much as 49% when the photon beam struck the highest density material (CoCrMo, 8·2g/cm3). However, dose was increased at the tissue-hip prosthesis interface (depths of 4 and 19cm). As the depth increased, the absorbed dose decreased due to attenuation of photons by the tissue and the metal.

Keywords

computer-generated phantomdose perturbationhip prosthesisMonte Carlostreak artefacts
Type
Original Articles
Information
Journal of Radiotherapy in Practice , Volume 16 , Issue 2 , June 2017 , pp. 155 - 160
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Copyright
© Cambridge University Press 2017 

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References

1. Palleri, F, Baruffaldi, F, Angelini, A L, Ferri, A, Spezi, E. Monte Carlo characterization of materials for prosthetic implants and dosimetric validation of Pinnacle TPS. Nucl Instrum Methods Phys Res B 2008; 266: 5001–5006.Google Scholar
2. Reynaert, N, Van de Marck, S C, Schaart, D R et al. Monte Carlo treatment planning for photon and electron beams. Radiat Phys Chem 2007; 76: 643–686.CrossRefGoogle Scholar
3. Abdul Aziz, M Z, Yusoff, A L, Osman, N D, Abdullah, R, Rabaie, N A, Salikin, M S. Monte Carlo dose calculation in dental amalgam phantom. J Med Phys 2015; 40: 150–155.Google Scholar
4. Bazalova, M, Beaulieu, L, Palefsky, S, Verhaegena, F. Correction of CT artefacts and its influence on Monte Carlo dose calculations. Med Phys 2007; 34: 2119–2132.Google Scholar
5. Osman, N D, Salikin, M S, Saripan, M I, Aziz, M Z A, Daud, N M. Metal artefact correction algorithm based-on DSAT technique for CT images. 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES), 8–10 December 2014, Kuala Lumpur, pp. 324-327, 2014.Google Scholar
6. Abdoli, M, Mohammad Reza, A Y, Ahmadian, A, Sahba, N, Zaidi, H. A novel approach for reducing dental filling artifact in CT-based attenuation correction of PET data. IFMBE Proc 2009; 22: 492–495.Google Scholar
7. Abdul Aziz, M Z, Yusoff, A L, Salikin, M S. Monte Carlo electron beam dose distribution near high density inhomogeneities interfaces. World Acad Sci Eng Technol 2011; 58: 338–341.Google Scholar
8. Aljamal, M, Zakaria, A. Monte Carlo modelling of a Siemens Primus 6 MV photon beam linear accelerator. Aust J Basic Appl Sci 2013; 7 (10): 340–346.Google Scholar
9. Toossi, M T B, Ghorbani, M, Akbari, F, Sabet, L S, Mehrpouyan, M. Monte Carlo simulation of electron modes of a Siemens Primus linac (8, 12 and 14 MeV). J Radiother Pract 2013; 12: 352–359.Google Scholar
10. International Commission on Radiation Units and Measurements. Photon, Electron, Proton and Neutron Interaction Data for Body Tissues (Report 46). Washington, DC: ICRU, 1992.Google Scholar
11. Wieslander, E, Knoos, T. Dose perturbation in the presence of metallic implants: treatment planning system versus Monte Carlo simulations. Phys Med Biol 2003; 48: 3295–3305.Google Scholar
12. Bazalova, M, Coolens, C, Cury, F, Childs, P, Beaulieu, L, Verhaegen, F. Monte Carlo dose calculation for phantoms with hip prosthesis. J Phys Conf Ser 2008; 102: 1–8.Google Scholar