GPU-Based Monte Carlo Software for Computing CT Imaging Doses

用于计算 CT 成像剂量的基于 GPU 的蒙特卡罗软件

• 批准号: 8518100
• 负责人: Xie George Xu
• 金额: $ 61.31万
• 依托单位: RENSSELAER POLYTECHNIC INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2016-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8518100
• 关键词: Abdomen; Acceleration; Accidents; Address; Adopted; Algorithms; American College of Radiology; Awareness; Body Image; Chest; Childhood; Clinic; Clinical; Code; Communities; Computer Simulation; Computer software; Computers; Data; Diagnostic; Diagnostic Imaging; Dose; Electrons; Engineering; Event; Filtration; Future Generations; Gamma Rays; General Hospitals; Goals; Harvest; Head; Heating; Hospitals; Hour; Human body; Hybrids; Image; Industry; Institutes; Investigation; Laboratories; Libraries; Manufacturer Name; Massachusetts; Measurement; Medical; Medical Imaging; Medicine; Methods; Modeling; Nuclear; Nuclear Weapon; Organ; Patients; Physics; Population; Price; Procedures; Process; Protocols documentation; Protons; Publishing; Radiation; Radiation Protection; Radiation therapy; Radiology Specialty; Reporting; Research; Research Personnel; Resource Sharing; Resources; Risk; Risk Assessment; Roentgen Rays; Scanning; Software Design; Solutions; Stream; System; Technology; Testing; Time; Tomography, Computed, Scanners; Translational Research; Universities; X-Ray Computed Tomography; base; computer science; computerized tools; cone-beam computed tomography; cost; design; detector; expectation; experience; high end computer; imaging modality; improved; innovation; meetings; multidisciplinary; parallel computing; pregnant; programs; radiologist; simulation; simulation software; supercomputer; theories; tool

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

描述（由申请人提供）：该项目的目标是展示一种新的蒙特卡罗辐射模拟软件包，用于低成本台式高性能计算机，该软件包将显著减少计算机断层扫描（CT）成像剂量计算的周转时间。X射线是最古老和最广泛使用的诊断成像方式。然而，关于辐射诱发致癌效应的潜在风险的争议一直围绕着3D容积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异性风险评估、扫描仪优化、协议比较和事故调查。我们提出了一种创新的方法，利用通用图形处理单元（GPGPU），收获了巨大的权力，从大规模并行处理器在前所未有的低价格。我们组建了这个多学科专家团队，他们来自核工程、蒙特卡罗辐射输运理论、医学物理学、计算机科学、临床放射学和CT扫描仪设计，以实现以下具体目标：1.开发新的Monte Carlo软件包，该软件包专为新兴的混合CPU/GPU并行计算平台而设计和优化，并验证该软件。2.将软件与GE LightSpeed CT扫描仪型号和可变形患者体模库集成。3.旨在证明和评价新型Monte Carlo计算工具用于典型诊断CT扫描方案的临床受益。4.建立全国临床放射学蒙特卡罗并行计算资源中心