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TPS for 302

Project description

TPS302

基于 OPENTPS v1.1.1 并结合 Proton Arc 相关功能进行优化扩展,可以实现单Spot和单野、多野IMPT计划的创建和优化,鲁棒性优化和评价,DICOM dose gamma index比较和DVH绘制,以及Arc相关功能。 目前已在 Windows 11/Ubuntu 22.04.4LTS + Python 3.9.21 环境下完成调试与运行验证。


📌 更新记录

  • 2025/04/13 v1.0.0
    • Windows 系统测试通过
    • 完善 7 个使用示例(examples)
  • 2025/04/13 v1.0.1
    • 完善Readme文档
  • 2025/05/13 v1.0.2
    • 修复了Linux系统不能正常进行布点和剂量计算的bug(测试环境“Ubuntu 22.04.4 LTS”)
    • 修改了WriteRTdose和WriteRTPlan的储存方式,使文件名可以包含小数点和横杠等常用特殊符号
    • 修改了ELSA.py使基于ELSA的ProtonArc测试例可以正常运行
  • 2025/7/15 v1.0.3
    • 修复了Linux系统上运行时的bug
    • 删除了部分调试用输出字段
  • 2025/9/4 v1.0.4
    • 增加了LET优化相关功能,实现计算LETij,设置LETMAX、LETMEAN、LETMIN等指标,并与Dose进行联合优化。

⚙️ 环境要求

请确保使用 Python 3.9.x 版本运行本项目。

推荐使用 Anaconda 创建独立的 Python 3.9 环境。


📄 使用说明文档

👉 点击查看详细文档(含部署方式、功能介绍、使用示例等):
📘使用文档(飞书链接)


📂 示例路径说明

说明 路径示例
安装后的包路径 D:\Anaconda\envs\OpenTPS_env\Lib\site-packages\opentps
示例路径 ...\opentps\core\examples\planOptimization

👨‍💻 作者信息

  • 项目作者:gcy
  • 许可证:Apache-2.0

🧭 支持平台

  • ✅ Windows 11,Ubuntu 22.04.4 LTS (已验证)
  • ⛔ macOS(暂未测试)

📞 联系与反馈

如有任何问题或建议,欢迎通过项目主页或文档页面进行反馈。

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