A GPU-cloud based Monte Carlo simulation platform for National Particle Therapy Research Center

国家粒子治疗研究中心基于GPU云的蒙特卡罗模拟平台

• 批准号: 8811782
• 负责人: Steve Bin Jiang
• 金额: $ 21.37万
• 依托单位: UT SOUTHWESTERN MEDICAL CENTER
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-02-10 至 2017-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8811782
• 关键词: Address; Anatomy; Area; Carbon; Clinical; Cloud Computing; Code; Communities; Conflict (Psychology); Databases; Development; Dose; Ensure; Geometry; Goals; Hour; Imagery; Internet; Language; Measurement; Microscopic; Mission; Modeling; Monte Carlo Method; Nature; Physics; Pilot Projects; Play; Process; Radiation therapy; Radiobiology; Research; Research Activity; Research Personnel; Resources; Role; Running; Sampling; Services; Staging; Structure; System; Systems Development; Techniques; Technology; Test Result; Testing; Therapeutic Studies; Time; Uncertainty; Validation; base; cloud based; flexibility; handheld mobile device; laptop; novel; particle; particle beam; particle physics; particle therapy; physical process; prototype; simulation; statistics; success; therapy design; tool; treatment planning; usability; user-friendly; virtual; web interface

Project Summary Monte Carlo (MC) simulation is a valuable tool for radiation therapy. Particularly for particle beam radiation therapy (PBRT), its remarkable value has been well recognized. Examples include, but not limited to, accurately calculating dose distributions that are highly sensitive to treatment geometry and anatomy, reducing range uncertainty, developing novel treatment verification techniques, capturing radiobiological effects from the microscopic level, and designing treatment facility. Hence, researchers are eager to have a fast, robust, and easy-to-use MC system in their studies. Yet, there are two main difficulties to use current available MC packages for PBRT, namely low computational efficiency and highly required user expertise. The conflicts between the great desire of using MC and the difficulties of using it have impeded research and clinical activities in PBRT to significantly. As part of the planning process for National Particle Therapy Research Center (NPTRC), we propose in this pilot project a highly accurate, efficient, yet user-friendly centralized MC simulation system using novel graphics-processing unit (GPU) and cloud-computing technologies. Different from conventional MC packages running on the user's end, our system remotely resides in a cloud inside NPTRC and provides MC simulation services to PBRT researchers though standard web browsers. While our long-term goal is to deliver novel MC simulations to facilitate the establishments of NPTRC and its future research activities, as well as to service the entire PBRT community, the goal of this pilot project is to initiate efforts toward the long-term goal by developing and validating a prototype system focusing on particle beam dose calculations to demonstrate feasibility and impacts. The deliverability of this project has been clearly demonstrated by mature technologies and our extensive preliminary studies. The strong research team, particularly the integration of Dr. Parodi for particle physics modeling, also ensures success. Our goal will be accomplished by pursuing two specific aims (SAs): (1) System developments: develop web interface, physics database, and core GPU-based MC simulation codes. (2) System validations: Comprehensively validate the computational accuracy of our system and test its efficiency. Perform end-to-end functionality test in a representative research scenario. This pilot project fits into the overall plan for the proposed NPTRC facility. (1) Being an integral component of NPTRC, it will play a critical role for the planning stage by offering virtual yet realistic simulations of different clinical, physical, and technical scenarios. In the long run, our system will greatly expand NPTRC's research capacity and hence significantly contribute to the establishments of its leading role in PBRT field. (2) Our system service PBRT field with high quality MC simulations. Continuous developments will add much more features to address needs from different research aspects. This is aligned with the NPTRC's mission of providing resources for researchers to investigate important problems in PBRT.

项目摘要 蒙特卡洛（MC）模拟是放射治疗的宝贵工具。特别是对于颗粒梁辐射 治疗（PBRT），其显着价值已得到充分认可。示例包括但不限于 准确计算对治疗几何和解剖学高度敏感的剂量分布，减少 范围不确定性，开发新的治疗验证技术，从 微观水平和设计治疗设施。因此，研究人员渴望拥有快速，健壮的 他们的研究中易于使用的MC系统。但是，使用当前可用的MC有两个主要困难 PBRT的软件包，即低计算效率和高度必需的用户专业知识。冲突 在使用MC的巨大愿望和使用它的困难阻碍了研究和临床上 PBRT的活动显着。作为国家粒子疗法研究计划过程的一部分 中心（NPTRC），我们在这个试点项目中提出了一个高度准确，高效但用户友好的集中式MC 使用新型图形处理单元（GPU）和云计算技术的仿真系统。不同的 从用户端运行的常规MC软件包，我们的系统远程位于内部的云中 NPTRC并通过标准的Web浏览器为PBRT研究人员提供MC仿真服务。而我们的 长期目标是提供新颖的MC模拟，以促进NPTRC的机构 研究活动以及为整个PBRT社区提供服务，该试点项目的目标是启动 通过开发和验证专注于粒子光束的原型系统来实现长期目标的努力 剂量计算以证明可行性和影响。这个项目的可交付性显然是 由成熟技术和我们广泛的初步研究证明。强大的研究团队， 尤其是帕罗迪博士进行粒子物理建模的整合，也确保了成功。我们的目标将是 通过追求两个具体目标（SAS）来完成：（1）系统开发：开发网络界面，物理 数据库和基于核心GPU的MC模拟代码。 （2）系统验证：全面验证 我们系统的计算准确性并测试其效率。在一个中执行端到端功能测试 代表性研究方案。该试点项目符合拟议的NPTRC设施的整体计划。 （1） 作为NPTRC不可或缺的组成部分，它将通过提供虚拟阶段对计划阶段发挥关键作用 对不同临床，物理和技术场景的现实模拟。从长远来看，我们的系统将 大大扩大了NPTRC的研究能力，因此极大地促进了其机构 在PBRT领域的领导作用。 （2）我们的系统服务PBRT字段具有高质量的MC模拟。连续的 发展将为解决不同研究方面的需求增加更多功能。这是对齐的 NPTRC的使命是为研究人员提供资源，以调查PBRT中的重要问题。