To develop a Monte Carlo (MC)-based and robust ion beam therapy optimization system that separates the optimization algorithm from the relative biological effectiveness (RBE) modeling. Robustly optimized dose distributions were calculated and compared across three ion therapy beams (proton, helium, carbon). The effect of different averaging techniques in calculating RBE in mixed beams was also investigated. Ion particles were transported in TOPAS MC. The microdosimetric-kinetic model (MKM) parameter, saturation corrected specific energy ( ##IMG## [http://ej.iop.org/images/0031-9155/65/15/155020/pmbaba08bieqn1.gif] {${z^*}$} ), was calculated with a customized MKM implementation in TOPAS MC. Intensity modulated ion therapy robust optimization was performed by a quasi-Newton iterative method based on dose-volume objective function. The robust optimization took setup and range uncertainties into account. In the present work, the biological dose for each individu...

中文翻译：

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利用Monte Carlo和微剂量动力学模型对离子束疗法进行强大的放射生物学优化。

开发基于蒙特卡洛（MC）的鲁棒离子束治疗优化系统，该系统将优化算法与相对生物学有效性（RBE）建模分开。计算并在三个离子治疗束（质子，氦气，碳）之间进行了稳健优化的剂量分布并进行了比较。还研究了不同平均技术在计算混合光束中的RBE方面的效果。离子颗粒在TOPAS MC中运输。微剂量动力学模型（MKM）参数，饱和校正比能（## IMG ## [http://ej.iop.org/images/0031-9155/65/15/155020/pmbaba08bieqn1.gif] {$ { z ^ *} $}），是使用TOPAS MC中的自定义MKM实现来计算的。通过基于剂量-体积目标函数的拟牛顿迭代法进行了强度调制离子疗法的鲁棒优化。稳健的优化考虑了设置和范围不确定性。在目前的工作中，每个个体的生物剂量...