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Uniciencia

On-line version ISSN 2215-3470Print version ISSN 1011-0275

Abstract

WILCHES-VISBAL, Jorge Homero; APAZA-VELIZ, Danny Giancarlo  and  NICOLUCCI, Patrícia. Spectral reconstruction of kilovoltage photon beams using generalized simulated annealing. Uniciencia [online]. 2022, vol.36, n.1, pp.253-263. ISSN 2215-3470.  http://dx.doi.org/10.15359/ru.36-1.15.

(Objective):

To unfold the energy spectrum of two kilovoltage (kV) X-ray beams from transmission curves through a mathematical methodology based on Laplace transform and the generalized simulated annealing algorithm.

(Methodology)

Energy spectra of photon beams and transmission data were associated by means of a mathematical expression derived from the analytical solution of Laplace transform. Transmission data was calculated by relating the air kerma of the attenuated beams, passing through aluminium plates of different thickness, to that of the non-attenuated beam. Generalized simulated annealing function, developed in an early work, was employed to find the parameters of the expression and so determine the spectra. Validation of the methodology was done by the comparison of the half-value layers obtained from transmission curves and the spectra.

(Results)

The mean square percentage error between transmission data and fitting curve of each spectrum defined from the parameters found was lower than 1% indicating a good adjustment. The same error was observed when the first half-value layer (HVL) from the transmission curves and those of each reconstructed spectrum were compared. Calculation time of parameters was 5 sec for 80 kV and 14 sec for 120 kV. In no case, non-realistic solution of energy spectra was obtained. These results were better than an early work where leastsquares were used.

(Conclusion)

The reconstruction methodology based on generalized simulated annealing employed in this manuscript can efficiently derive the spectra of two X-ray beams with comparable accuracy to previous work. A limitation is that validation was not done by comparing data with the equipment’s spectra.

Keywords : photon spectra; generalized simulated annealing; inverse reconstruction; transmission curves.

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