Abstract
X-rays are widely used in diagnostic imaging such as radiography and computed tomography. An understanding of the X-ray spectrum is essential for estimating the dose absorbed by the patient and for improving image quality. In this research, X-ray emission spectra were investigated by using two different approaches: a Monte Carlo method using the MCNP5 code and a semi-empirical calculation with SpekCalc software. The results were compared with each other to validate the Monte Carlo simulation of the X-ray spectra, so that the simulation model can be applied to estimating the dose rate distribution in X-ray imaging. The obtained results show good agreement between the two approaches, but some divergence is still observed in the characteristic X-ray peaks. In addition, the influence of X-ray tube parameters such as the peak voltage, filter, anode angle and target material on of the beam quality was investigated.
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References
M. Matsumoto et al., Med. Phys. 27, 1490 (2000).
L. E. Antonuk et al., Med. Phys. 24, 51 (1997).
R. Birch and M. Marshall, Phys. Med. Bio. 24, 505 (1979).
M. M. Blough et al., Med. Phys. 25, 1605 (1998).
M. N. Boone et al., Nucl. Instr. Meth. Phys. Res. A 661, 7 (2012).
I. Jerez-Sainz, A. Prez-Rozos and A. M. Lallena, Nucl. Instr. Meth. Phys. Res. A 580, 518 (2007).
U. Bottigli et al., Spectrochimica Acta Part B 59, 1747 (2004).
R. Taschereau et al., Nucl. Instr. Meth. Phys. Res. A 569, 373 (2006).
F. Verhaegen and I.A. Castellano, Rad. Protection Dosimetry 99, 393 (2002).
L. B. Omrane, Phys. Med. Biol. 48, 1809 (2003).
X-5 Monte Carlo Team, MCNP A General Monte Carlo N-Particle Transport Code, Version 5, Los Alamos National Laboratory (2003).
G. Poludniowski et al., Phys. Med. Biol. 54, N433 (2009).
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Tran, K.A., Truong, L.T.H., Mai, N.V. et al. Study on the characteristics of X-ray spectra in imaging diagnosis using Monte Carlo simulations. Journal of the Korean Physical Society 69, 1168–1174 (2016). https://doi.org/10.3938/jkps.69.1168
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DOI: https://doi.org/10.3938/jkps.69.1168