论文标题
RapidBrachymctps 2.0:用于近距离放射治疗应用的全面且灵活的基于蒙特卡洛的治疗计划
RapidBrachyMCTPS 2.0: A Comprehensive and Flexible Monte Carlo-Based Treatment Planning System for Brachytherapy Applications
论文作者
论文摘要
我们先前已经描述了Rachtherapy治疗计划工具包,该工具包由图形用户界面(GUI)和基于GEANT4的Monte Carlo(MC)剂量计算引擎组成。这项工作描述了最近已添加到Rapidbrachymctps的工具,因此它现在是基于MC的近距离近距离治疗计划的第一个独立应用。值得注意的更改包括更新的涂抹器导入和定位,三平面轮廓工具以及更新的剂量优化算法,除了优化停留位置和停留时间之外,还可以优化强度调节近距离的旋转屏蔽角。验证了快速桥接的主要模块,包括DICOM进口,施用者导入和定位,轮廓,材料分配,源规范,导管重建,EGSPHANT生成,与MC代码的接口以及剂量优化和分析工具。模拟了两个患者病例以证明这些原则,说明了Rapidbrachymctps为治疗计划途径的所有步骤提供的控制和灵活性。 RapidBrachymctps现在是近距离放射治疗计划的独立应用程序,并提供了用户友好的界面来访问强大的MC计算。它可用于验证临床治疗计划系统或基于模型的剂量计算算法的剂量分布,并且也非常适合测试辐射源和涂抹器的新型组合,尤其是那些被高Z材料屏蔽的人。
We have previously described RapidBrachyMCTPS, a brachytherapy treatment planning toolkit consisting of a graphical user interface (GUI) and a Geant4-based Monte Carlo (MC) dose calculation engine. This work describes the tools that have recently been added to RapidBrachyMCTPS, such that it now serves as the first stand-alone application for MC-based brachytherapy treatment planning. Notable changes include updated applicator import and positioning, three-plane contouring tools, and updated dose optimization algorithms that, in addition to optimizing dwell position and dwell time, also optimize the rotating shield angles in intensity modulated brachytherapy. The main modules of RapidBrachyMCTPS were validated including DICOM import, applicator import and positioning, contouring, material assignment, source specification, catheter reconstruction, EGSphant generation, interface with the MC code, and dose optimization and analysis tools. Two patient cases were simulated to demonstrate these principles, illustrating the control and flexibility offered by RapidBrachyMCTPS for all steps of the treatment planning pathway. RapidBrachyMCTPS is now a stand-alone application for brachytherapy treatment planning, and offers a user-friendly interface to access powerful MC calculations. It can be used to validate dose distributions from clinical treatment planning systems or model-based dose calculation algorithms, and is also well suited to testing novel combinations of radiation sources and applicators, especially those shielded with high-Z materials.