
Proceedings Paper
Unfiltered Monte Carlo-based tungsten anode spectral model from 20 to 640 kVFormat | Member Price | Non-Member Price |
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Paper Abstract
A Monte Carlo-based tungsten anode spectral model, conceptually similar to the previously-developed TASMIP model,
was developed. This new model provides essentially unfiltered x-ray spectra with better energy resolution and
significantly extends the range of tube potentials for available spectra. MCNPX was used to simulate x-ray spectra as a
function of tube potential for a conventional x-ray tube configuration with several anode compositions. Thirty five x-ray
spectra were simulated and used as the basis of interpolating a complete set of tungsten x-ray spectra (at 1 kV intervals)
from 20 to 640 kV. Additionally, Rh and Mo anode x-ray spectra were simulated from 20 to 60 kV. Cubic splines were
used to construct piecewise polynomials that interpolate the photon fluence per energy bin as a function of tube potential
for each anode material. The tungsten anode spectral model using interpolating cubic splines (TASMICS) generates
minimally-filtered (0.8 mm Be) x-ray spectra from 20 to 640 kV with 1 keV energy bins. The rhodium and molybdenum
anode spectral models (RASMICS and MASMICS, respectively) generate minimally-filtered x-ray spectra from 20 to 60
kV with 1 keV energy bins. TASMICS spectra showed no statistically significant differences when compared with the
empirical TASMIP model, the semi-empirical Birch and Marshall model, and a Monte Carlo spectrum reported in AAPM
TG 195. The RASMICS and MASMICS spectra showed no statistically significant differences when compared with
their counterpart RASMIP and MASMIP models. Spectra from the TASMICS, MASMICS, and RASMICS models are
available in spreadsheet format for interested users.
Paper Details
Date Published: 19 March 2014
PDF: 10 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90334P (19 March 2014); doi: 10.1117/12.2042295
Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)
PDF: 10 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90334P (19 March 2014); doi: 10.1117/12.2042295
Show Author Affiliations
A. M. Hernandez, Univ. of California, Davis (United States)
John M. Boone, Univ. of California, Davis (United States)
Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)
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