GPU-Based Monte Carlo Software for Computing CT Imaging Doses

描述（由申请人提供）：该项目的目标是演示用于低成本台式高性能计算机的新蒙特卡罗辐射模拟软件包，该软件包将显着缩短计算机断层扫描（CT）成像剂量计算的周转时间。 X 射线是最古老且使用最广泛的诊断成像方式。然而，关于辐射诱发致癌作用的潜在风险的争议始终围绕着 3D 体积 CT 身体成像的临床使用。然而，经验表明，现有的患者 CT 剂量计算工具不足以进行患者特定风险评估、扫描仪优化、方案比较和事故调查。我们提出了一种创新方法，该方法利用通用图形处理单元 (GPGPU)，以前所未有的低价从大规模并行处理器中获取巨大的性能。我们聚集了来自核工程、蒙特卡罗辐射传输理论、医学物理学、计算机科学、临床放射学和 CT 扫描仪设计的多学科专家团队，以实现以下具体目标： 1. 开发专为新兴混合 CPU/GPU 并行计算平台设计和优化的新蒙特卡罗软件包，并验证该软件。 2. 将软件与 GE LightSpeed CT 扫描仪模型和可变形患者模型库集成。 3. 展示和评估新的蒙特卡罗计算工具对于典型诊断 CT 扫描协议的临床益处。 4. 建立临床放射学界蒙特卡洛并行计算国家资源中心 公共健康相关性：针对低成本 CPU/GPU 台式高性能计算机开发了一种新的蒙特卡罗辐射模拟软件包，可显着缩短计算机断层扫描 (CT) 成像剂量计算的周转时间。

DESCRIPTION (provided by applicant): This project's goal is to demonstrate a new Monte Carlo radiation simulation software package, for a low-cost desktop high-performance computer, that will significantly reduce the turn-around time for computed tomography (CT) imaging dose calculations. X-ray is the oldest and most widely used diagnostic imaging modality. However, controversy about the potential risk of radiation-induced carcinogenic effects has always surrounded the clinical use of 3D volumetric CT body imaging. However, experiences suggest that existing patient CT dose computational tools are insufficient for patient- specific risk assessment, scanner optimization, protocol comparison, and accident investigation. We propose an innovative approach which takes advantage of general-purpose graphics processing units (GPGPUs) that harvest the enormous power from massively parallel processors at unprecedented low prices. We have assembled this multidisciplinary team of experts from nuclear engineering, Monte Carlo radiation transport theory, medical physics, computer science, clinical radiology, and CT scanner design to achieve the following Specific Aims: 1. To develop a new Monte Carlo software package that is specifically designed and optimized for the emerging hybrid CPU/GPU parallel computing platforms and to validate the software. 2. To integrate the software with GE LightSpeed CT scanner models and a library of deformable patient phantoms. 3. To demonstrate and evaluate clinical benefits of the new Monte Carlo computing tool for typical diagnostic CT scanning protocols. 4. To establish a national resource center of Monte Carlo parallel-computing for the clinical radiological community PUBLIC HEALTH RELEVANCE: A new Monte Carlo radiation simulation software package for a low-cost CPU/GPU desktop high- performance computer is developed to significantly reduce the turn-around time for computed tomography (CT) imaging dose calculations.