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Monte Carlo simulations of production of collimated
panoramic X-rays using a conical anode-type X-ray tube
Andrii Sofiienko1
, Chad Jarvis2
, Ådne Voll3
1
University of Bergen, Allegaten 55, PO Box 7803, 5020 Bergen, Norway, e-mail: andrii.sofiienko@visuray.com
2
Christian Michelsen Research AS, Fantoftveien 38, PO Box 6031, NO-5892 Bergen, Norway, e-mail: chad.jarvis@cmr.no
3
Visuray AS, Strandbakken 10, 4070 Randaberg, Norway, e-mail: adne.voll@visuray.com
Introduction
X-ray techniques are commonly used in the non-destructive testing [1] of industrial parts, material
characterization and many medical applications [2, 3, 4]. X-ray tubes with a conical target [5, 6] have
the simplest design for 3600
panoramic scanning systems [7]. For scanning technology, maximising
the output X-ray intensity in the collimated beam is important. Variations in the electron beam
diameter, the shape of the conical target, and the inclination angle of the output collimated X-ray
beam can significantly affect the output X-ray intensity in the collimated beam and limit the
performance of the scanning system. The general purpose of this study was to investigate, using
Monte Carlo simulations, the X-ray generation process in an X-ray tube with a conical tungsten anode
and cylindrical symmetry. We determined the following parameters for use in practical applications:
the intensity of generated X-rays in the energy range of 250-500 keV, the optimal target shape, the
angular distribution of the intensity of the generated X-rays and collimated through a cylindrical hole
from an external collimator, and the efficiency of X-ray generation.
Monte Carlo simulations
The Monte Carlo (MC) simulations were generated with the software suite Xenos by Field
Precision [8]. The particular program to generate the Monte Carlo is called GamBet based on the
package PPENELOPE [9]. The solution volume for the object mesh had different ranges for the
different sizes of the tungsten conical anode (it depends on the apex angle of the conical
anode 2γ, Figure 1) and for the different radii of the electron beam (re). MC simulations were
done for the geometries presented in Figure 1, when the electron energy was 250 keV, 300 keV and
500 keV. The number of high-energy electrons was the same for all simulations: Ne = 4.613∙105
.
The radial distribution of electrons in an electron beam was modelled as a Gaussian function of the
diameter (De) of the electron beam:
Figure 1: A geometrical model of the conical tungsten target and electron beam that were used for the MC simulations and for the numerical calculation of the intensity of
collimated X-rays.
The angular distribution of the photon intensity in collimated X-ray beam
 
2 2
2 2
1
, , exp
2 2
4 4
e e
e e
x y
f x y D
D D

 
 
   
    
     
    
Figure 3: The dependences of the inclination angle, associated with the maximum value of the
intensity of collimated X-rays (upper plot), and of the maximum value of the intensity of
collimated X-rays (lower plot) on the value of the apex angle of the conical anode at an
electron energy equal to 250 keV and electron beam radii equal to 0.5 mm (1), 2.0 mm (2) and
5.0 mm (3).
Figure 4: The dependences of the inclination angle, associated with the maximal value of the
intensity of collimated X-rays (upper plot), and of the maximal value of the intensity of
collimated X-rays (lower plot) on the value of the apex angle of the conical anode at an
electron energy equal to 500 keV and electron beam radii equal to 0.5 mm (1), 2.0 mm (2) and
5.0 mm (3).
To simplify the MC simulations, which require a large
amount of computation time, the following simple
numerical method was used to simulate an external
cylindrical collimator with any thickness ∆R and any
radius. For this task, it is necessary to know the spatial
distribution of the photons on the first surface of the
collimator (with inner radius Rc) and on the second
surface of the collimator (with outer radius Rc + ∆R).
This spatial distribution can be calculated using two
translations of the spatial positions of the photons on
the surface with radius Rc and then to the surface with
new radius Rc + ∆R; moreover, it is necessary to
estimate the geometrical position of the cylindrical hole
inside the collimator. Only photons whose coordinates
lie on the hole on the first collimator surface and on the
hole on the second collimator surface will be able to
pass through the collimator hole. The parameters of the
collimator are following: Rc = 10 mm, ∆R = 3.5 mm
and rc = 0.45 mm.
Conclusions
From Monte Carlo simulations of the X-ray generation process in an X-ray tube with a conical target
(anode), several important parameters and dependences were determined: the X-ray spectra in the
acceleration potential range of 250-500 kV, the optimal target shape, the angular distribution of the
intensity of X-rays collimated through the cylindrical hole or slit of an external collimator and the
efficiency coefficient for energy transfer from an electron beam to a generated X-ray flux. It was
demonstrated that the angular distribution of the intensity in a collimated X-ray beam depends on the
radius of the electron beam and on the shape of the conical target and that these dependences are
different at different acceleration potentials of the X-ray tube. The optimal values of the geometrical
parameters of a scanning system based on an X-ray tube integrated with an external collimator were
observed to maximise the output X-ray intensity in the beam. These results and the proposed
methods for the numerical modeling of the external collimators can be used in practical applications
to design scanning systems based on the pencil-beam technique and X-ray tubes with massive conical
targets.
References
[1] G. Harding, J. Kosanetzky, Scattered X-ray beam nondestructive testing, NIM: Section A, 280, (1989), 517-528.
[2] D.N. Zeiger, J. Sun, G.E. Schumacher, S.L. Gibson, Evaluation of dental composite shrinkage and leakage in extracted teeth using X-ray microcomputed
tomography, Dental Materials, 25, (2009), 1213-1220.
[3] L. Goldstein, S.O. Prasher, S. Ghoshal, Three-dimensional visualization and quantification of non-aqueous phase liquid volumes in natural porous media
using a medical X-ray Computed Tomography scanner, J. of Contaminant Hydrology, 93, (2007), 96-110.
[4] M. Lindner, L. Blanquart, P. Fischer, H. Krüger, N. Wermes, Medical X-ray imaging with energy windowing, NIM: Section A, 465, (2001), 229-234.
[5] A. Ihsan, S.H. Heo, H.J. Kim, C.M. Kang, S.O. Cho, An optimal design of X-ray target for uniform X-ray emission from an electronic brachytherapy
system, NIM: Section B, 269, (2011), 1053-1057.
[6] G. Harding, B. Jordan and J. Kosanetzky, A new fluorescent X-ray source for photon scattering investigations, Phys. Med. Biol., 36, No.12 (1991), 1573.
[7] S. Henzell, S.S. Dhaliwal, R.I. Price, F. Gill, C. Ventourasa, C. Greena, F.D. Fonseca, M. Holzherr, R. Prince, Comparison of Pencil-Beam and Fan-
Beam DXA Systems, Journal of Clinical Densitometry, 6, (2003), 205-210.
[8] S. Humphries, Computational Techniques in Xenos - Integrated 3D Software Suite for Electron and X-ray Physics, IEEE 34th International Conference
ICOPS 2007, 729, 2007.
[9] F. Salvat, J.M. Fernández-Varea, J. Sempau, PENELOPE-2011: A code system for Monte Carlo simulation of electron and photon transport, OECD
Nuclear Energy Agency, 369, 2011.
[10] J.R. Taylor, An introduction to Error Analysis, University Science Books (1996).
[11] S.A. Ivanov, G.A.Shchukin, Rentgenovskie trubki tekhnicheskogo naznacheniya (X-ray Tubes for Technical Purposes), Leningrad: Energoatomizdat,
1989 [in Russian].
[12] H.W. Koch, J.W. Motz, Bremsstrahlung Cross-Section Formulas and Related Data, Rev. Mod. Phys., 31, 920, 1959.
[13] K.N. Mukhin, Nuclear physics (translated from Russian), Macdonald & Co., 505, 1970.
0 30 60 90 120 150 180
0
2x10
7
4x10
7
6x10
7
8x10
7
5
0
15
0
30
0
45
0
55
0
X
(),photons/s
, degrees
Figure 2: The angular distributions of the intensity of collimated X-ray photons
(recalculated for a collimator with a hole) in cylindrical geometry at different
values of the apex angle of the anode when the electron energy is equal to 250 keV
and the electron beam radius is equal to 2.0 mm.

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Monte Carlo simulations of production of collimated panoramic X-rays using a conical anode-type X-ray tube (Andrii Sofiienko)

  • 1. Monte Carlo simulations of production of collimated panoramic X-rays using a conical anode-type X-ray tube Andrii Sofiienko1 , Chad Jarvis2 , Ådne Voll3 1 University of Bergen, Allegaten 55, PO Box 7803, 5020 Bergen, Norway, e-mail: andrii.sofiienko@visuray.com 2 Christian Michelsen Research AS, Fantoftveien 38, PO Box 6031, NO-5892 Bergen, Norway, e-mail: chad.jarvis@cmr.no 3 Visuray AS, Strandbakken 10, 4070 Randaberg, Norway, e-mail: adne.voll@visuray.com Introduction X-ray techniques are commonly used in the non-destructive testing [1] of industrial parts, material characterization and many medical applications [2, 3, 4]. X-ray tubes with a conical target [5, 6] have the simplest design for 3600 panoramic scanning systems [7]. For scanning technology, maximising the output X-ray intensity in the collimated beam is important. Variations in the electron beam diameter, the shape of the conical target, and the inclination angle of the output collimated X-ray beam can significantly affect the output X-ray intensity in the collimated beam and limit the performance of the scanning system. The general purpose of this study was to investigate, using Monte Carlo simulations, the X-ray generation process in an X-ray tube with a conical tungsten anode and cylindrical symmetry. We determined the following parameters for use in practical applications: the intensity of generated X-rays in the energy range of 250-500 keV, the optimal target shape, the angular distribution of the intensity of the generated X-rays and collimated through a cylindrical hole from an external collimator, and the efficiency of X-ray generation. Monte Carlo simulations The Monte Carlo (MC) simulations were generated with the software suite Xenos by Field Precision [8]. The particular program to generate the Monte Carlo is called GamBet based on the package PPENELOPE [9]. The solution volume for the object mesh had different ranges for the different sizes of the tungsten conical anode (it depends on the apex angle of the conical anode 2γ, Figure 1) and for the different radii of the electron beam (re). MC simulations were done for the geometries presented in Figure 1, when the electron energy was 250 keV, 300 keV and 500 keV. The number of high-energy electrons was the same for all simulations: Ne = 4.613∙105 . The radial distribution of electrons in an electron beam was modelled as a Gaussian function of the diameter (De) of the electron beam: Figure 1: A geometrical model of the conical tungsten target and electron beam that were used for the MC simulations and for the numerical calculation of the intensity of collimated X-rays. The angular distribution of the photon intensity in collimated X-ray beam   2 2 2 2 1 , , exp 2 2 4 4 e e e e x y f x y D D D                          Figure 3: The dependences of the inclination angle, associated with the maximum value of the intensity of collimated X-rays (upper plot), and of the maximum value of the intensity of collimated X-rays (lower plot) on the value of the apex angle of the conical anode at an electron energy equal to 250 keV and electron beam radii equal to 0.5 mm (1), 2.0 mm (2) and 5.0 mm (3). Figure 4: The dependences of the inclination angle, associated with the maximal value of the intensity of collimated X-rays (upper plot), and of the maximal value of the intensity of collimated X-rays (lower plot) on the value of the apex angle of the conical anode at an electron energy equal to 500 keV and electron beam radii equal to 0.5 mm (1), 2.0 mm (2) and 5.0 mm (3). To simplify the MC simulations, which require a large amount of computation time, the following simple numerical method was used to simulate an external cylindrical collimator with any thickness ∆R and any radius. For this task, it is necessary to know the spatial distribution of the photons on the first surface of the collimator (with inner radius Rc) and on the second surface of the collimator (with outer radius Rc + ∆R). This spatial distribution can be calculated using two translations of the spatial positions of the photons on the surface with radius Rc and then to the surface with new radius Rc + ∆R; moreover, it is necessary to estimate the geometrical position of the cylindrical hole inside the collimator. Only photons whose coordinates lie on the hole on the first collimator surface and on the hole on the second collimator surface will be able to pass through the collimator hole. The parameters of the collimator are following: Rc = 10 mm, ∆R = 3.5 mm and rc = 0.45 mm. Conclusions From Monte Carlo simulations of the X-ray generation process in an X-ray tube with a conical target (anode), several important parameters and dependences were determined: the X-ray spectra in the acceleration potential range of 250-500 kV, the optimal target shape, the angular distribution of the intensity of X-rays collimated through the cylindrical hole or slit of an external collimator and the efficiency coefficient for energy transfer from an electron beam to a generated X-ray flux. It was demonstrated that the angular distribution of the intensity in a collimated X-ray beam depends on the radius of the electron beam and on the shape of the conical target and that these dependences are different at different acceleration potentials of the X-ray tube. The optimal values of the geometrical parameters of a scanning system based on an X-ray tube integrated with an external collimator were observed to maximise the output X-ray intensity in the beam. These results and the proposed methods for the numerical modeling of the external collimators can be used in practical applications to design scanning systems based on the pencil-beam technique and X-ray tubes with massive conical targets. References [1] G. Harding, J. Kosanetzky, Scattered X-ray beam nondestructive testing, NIM: Section A, 280, (1989), 517-528. [2] D.N. Zeiger, J. Sun, G.E. Schumacher, S.L. Gibson, Evaluation of dental composite shrinkage and leakage in extracted teeth using X-ray microcomputed tomography, Dental Materials, 25, (2009), 1213-1220. [3] L. Goldstein, S.O. Prasher, S. Ghoshal, Three-dimensional visualization and quantification of non-aqueous phase liquid volumes in natural porous media using a medical X-ray Computed Tomography scanner, J. of Contaminant Hydrology, 93, (2007), 96-110. [4] M. Lindner, L. Blanquart, P. Fischer, H. Krüger, N. Wermes, Medical X-ray imaging with energy windowing, NIM: Section A, 465, (2001), 229-234. [5] A. Ihsan, S.H. Heo, H.J. Kim, C.M. Kang, S.O. Cho, An optimal design of X-ray target for uniform X-ray emission from an electronic brachytherapy system, NIM: Section B, 269, (2011), 1053-1057. [6] G. Harding, B. Jordan and J. Kosanetzky, A new fluorescent X-ray source for photon scattering investigations, Phys. Med. Biol., 36, No.12 (1991), 1573. [7] S. Henzell, S.S. Dhaliwal, R.I. Price, F. Gill, C. Ventourasa, C. Greena, F.D. Fonseca, M. Holzherr, R. Prince, Comparison of Pencil-Beam and Fan- Beam DXA Systems, Journal of Clinical Densitometry, 6, (2003), 205-210. [8] S. Humphries, Computational Techniques in Xenos - Integrated 3D Software Suite for Electron and X-ray Physics, IEEE 34th International Conference ICOPS 2007, 729, 2007. [9] F. Salvat, J.M. Fernández-Varea, J. Sempau, PENELOPE-2011: A code system for Monte Carlo simulation of electron and photon transport, OECD Nuclear Energy Agency, 369, 2011. [10] J.R. Taylor, An introduction to Error Analysis, University Science Books (1996). [11] S.A. Ivanov, G.A.Shchukin, Rentgenovskie trubki tekhnicheskogo naznacheniya (X-ray Tubes for Technical Purposes), Leningrad: Energoatomizdat, 1989 [in Russian]. [12] H.W. Koch, J.W. Motz, Bremsstrahlung Cross-Section Formulas and Related Data, Rev. Mod. Phys., 31, 920, 1959. [13] K.N. Mukhin, Nuclear physics (translated from Russian), Macdonald & Co., 505, 1970. 0 30 60 90 120 150 180 0 2x10 7 4x10 7 6x10 7 8x10 7 5 0 15 0 30 0 45 0 55 0 X (),photons/s , degrees Figure 2: The angular distributions of the intensity of collimated X-ray photons (recalculated for a collimator with a hole) in cylindrical geometry at different values of the apex angle of the anode when the electron energy is equal to 250 keV and the electron beam radius is equal to 2.0 mm.