CALCULATING OUTPUT FACTORS FOR PHOTON-BEAM RADIOTHERAPY USING A CONVOLUTION SUPERPOSITION METHOD BASED ON A DUAL SOURCE PHOTON-BEAM MODEL/

Citation
Hh. Liu et al., CALCULATING OUTPUT FACTORS FOR PHOTON-BEAM RADIOTHERAPY USING A CONVOLUTION SUPERPOSITION METHOD BASED ON A DUAL SOURCE PHOTON-BEAM MODEL/, Medical physics, 24(12), 1997, pp. 1975-1985
Citations number
32
Journal title
ISSN journal
00942405
Volume
24
Issue
12
Year of publication
1997
Pages
1975 - 1985
Database
ISI
SICI code
0094-2405(1997)24:12<1975:COFFPR>2.0.ZU;2-Y
Abstract
A realistic photon beam model based on Monte Carlo simulation of clini cal linear accelerators was implemented in a convolution/superposition dose calculation algorithm. A primary and an extrafocal sources were used in this beam model to represent the direct photons from the targe t and the scattered photons from other head structures, respectively. The effect of the finite size of the extra-focal source was modeled by a convolution of the source fluence distribution with the collimator aperture function. Relative photon output in air (S-c) and in phantom (S-cp) were computed using the convolution method with this new photon beam model. Our results showed that in a 10 MV photon beam, the S-c, S-p (phantom scatter factor), and S-cp factors increased by 11%, 10%, and 22%, respectively, as the field size changed from 3 x 3 cm(2) to 4 0 x 40 cm(2). The variation of the Sc factor was contributed mostly by an increase of the extra-focal radiation with field size. The radiati on backscattered into the monitor chamber inside the accelerator head affected the S-c by about 2% in the same field range. The output facto rs in elongated fields, asymmetric fields, and blocked fields were als o investigated in this study. Our results showed that if the effect of the backscattered radiation was taken into account, output factors in these treatment fields can be predicted accurately by our convolution algorithm using the dual source photon beam model. (C) 1997 American Association of Physicists in Medicine.