CAJ | 학술논문

建立一包含肺介质的水模体，分别用笔形束（PencilBeam，PB）算法、卷积叠加（Convolution—superposition，CS）算法和蒙特卡罗（MonteCarlo，MC）模拟计算lcm×1cm到7cm×7cm射野条件下，6MV和15MV光子在该模体中的百分深度剂量和离轴比，并以MC模拟为标准比较其计算误差．结果表明肺介质中，笔形束算法计算精度总体上随能量的增加降低，卷积叠加算法计算精度受能量影响不大．
건립일포함폐개질적수모체，분별용필형속（PencilBeam，PB）산법、권적첩가（Convolution—superposition，CS）산법화몽특잡라（MonteCarlo，MC）모의계산lcm×1cm도7cm×7cm사야조건하，6MV화15MV광자재해모체중적백분심도제량화리축비，병이MC모의위표준비교기계산오차．결과표명폐개질중，필형속산법계산정도총체상수능량적증가강저，권적첩가산법계산정도수능량영향불대．
A water phantom with a lung density slab was built, in which the depth dose （DD） and off-axis ratio （OAR） of field 1 cmx 1 cm to field 7 cm x 7 cm were calculated by PB algorithms,CS algorithms and Monte Carlo （MC）simulation under 6 MV and 15 MV photon, and their calculation error were evaluated by the standard of MC simulated results. The results show that in lung density media, the calculation accuracy of PB algorithms in- creases with the energy reduction as a whole in lung density media. The CS algorithm accu- racy has little effect by the energy.