RapidBrachyMCTPS 2.0：一个基于蒙特卡罗的近距离放射治疗计划系统
RapidBrachyMCTPS 2.0: A Comprehensive and Flexible Monte Carlo-Based Treatment Planning System for Brachytherapy Applications
摘要：
我们之前已经描述了RapidBrachyMCTPS，这是一种近距离放射治疗计划工具包，由图形用户界面（GUI）和基于Geant 4的Monte Carlo（MC）剂量计算引擎组成。这项工作描述了最近添加到RapidBrachyMCTPS的工具，因此它现在作为基于MC的近距离放射治疗计划的第一个独立应用程序。值得注意的变化包括更新的施源器导入和定位、三平面轮廓工具和更新的剂量优化算法，除了优化驻留位置和驻留时间外，还优化了调强近距离放射治疗中的旋转屏蔽角度。对RapidBrachyMCTPS的主要模块进行了确认，包括DICOM导入、施源器导入和定位、轮廓绘制、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为治疗计划路径的所有步骤提供的控制和灵活性。RapidBrachyMCTPS现在是一个独立的应用程序，用于近距离放射治疗计划，并提供了一个用户友好的界面，以访问强大的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，也非常适合测试辐射源和施源器的新型组合，特别是那些用高Z材料屏蔽的辐射源和施源器。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
