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一种优化碳离子放射治疗计划中空间剂量分布的数值方法。

A numerical method to optimise the spatial dose distribution in carbon ion radiotherapy planning.

作者信息

Grzanka L, Korcyl M, Olko P, Waligorski M P R

机构信息

Institute of Nuclear Physics PAN, Krakow, Poland

Institute of Nuclear Physics PAN, Krakow, Poland.

出版信息

Radiat Prot Dosimetry. 2015 Sep;166(1-4):351-5. doi: 10.1093/rpd/ncv195. Epub 2015 May 5.

Abstract

The authors describe a numerical algorithm to optimise the entrance spectra of a composition of pristine carbon ion beams which delivers a pre-assumed dose-depth profile over a given depth range within the spread-out Bragg peak. The physical beam transport model is based on tabularised data generated using the SHIELD-HIT10A Monte-Carlo code. Depth-dose profile optimisation is achieved by minimising the deviation from the pre-assumed profile evaluated on a regular grid of points over a given depth range. This multi-dimensional minimisation problem is solved using the L-BFGS-B algorithm, with parallel processing support. Another multi-dimensional interpolation algorithm is used to calculate at given beam depths the cumulative energy-fluence spectra for primary and secondary ions in the optimised beam composition. Knowledge of such energy-fluence spectra for each ion is required by the mixed-field calculation of Katz's cellular Track Structure Theory (TST) that predicts the resulting depth-survival profile. The optimisation algorithm and the TST mixed-field calculation are essential tools in the development of a one-dimensional kernel of a carbon ion therapy planning system. All codes used in the work are generally accessible within the libamtrack open source platform.

摘要

作者描述了一种数值算法,用于优化原始碳离子束组合的入射光谱,该组合在展宽布拉格峰内的给定深度范围内提供预先设定的剂量-深度分布。物理束流传输模型基于使用SHIELD-HIT10A蒙特卡罗代码生成的表格数据。通过最小化在给定深度范围内规则点网格上评估的与预先设定分布的偏差,实现深度剂量分布优化。这个多维最小化问题使用具有并行处理支持的L-BFGS-B算法来解决。另一种多维插值算法用于在给定束流深度处计算优化后的束流组合中初级和次级离子的累积能量注量光谱。预测所得深度-存活分布的Katz细胞径迹结构理论(TST)的混合场计算需要每个离子的这种能量注量光谱知识。优化算法和TST混合场计算是碳离子治疗计划系统一维内核开发中的重要工具。该工作中使用的所有代码通常可在libamtrack开源平台内获取。

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