Development of Novel Fast GPU Monte Carlo and Active Photonics Simulation Softwar

新型快速GPU蒙特卡罗和主动光子学仿真软件的开发

• 批准号: 8780326
• 负责人: Evgueni Parilov
• 金额: $ 22.5万
• 依托单位: SIMPHOTEK, INC.
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-17 至 2015-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8780326
• 关键词: Algorithms; Bacterial Infections; Biological; Cardiovascular Diseases; Clinical; Code; Complex; Computer software; Computing Methodologies; Development; Discipline; Electromagnetic Energy; Electromagnetic Fields; Electromagnetics; Equation; Eye diseases; Faculty; Geometry; Goals; Health Personnel; High Performance Computing; Institution; Investigation; Kinetics; Knowledge; Language; Lasers; Lead; Light; Malignant Neoplasms; Mathematics; Medical; Methods; Modeling; Monte Carlo Method; Mouth Diseases; Optics; Pennsylvania; Phase; Photochemotherapy; Photosensitizing Agents; Physicians; Plasma; Process; Property; Research Infrastructure; Research Personnel; Series; Small Business Innovation Research Grant; Solutions; Therapeutic; Therapeutic Studies; Tissues; Tumor Biology; Universities; Variant; Weight; Work; absorption; attenuation; base; blood product; clinical application; computer framework; computer science; design; dosimetry; experience; improved; laptop; mathematical algorithm; mathematical methods; medical schools; member; model development; novel; parallel computer; particle; photonics; pre-clinical; programs; public health relevance; response; simulation; simulation software; skin disorder; software development; treatment planning; user friendly software; user-friendly

DESCRIPTION (provided by applicant): Photodynamic therapy (PDT) is used for treating a variety of medical conditions including cancer. Even after many years of PDT research and the large-scale use of PDT treatments by physicians, there are many aspects of PDT, such as quantitative predictions for diffusive light propagation and the kinetics of the light-material interactions, that are not well understood. This can lead to a large variation in treatment results In particular, the dosimetry for treatments is challenging and it is difficult to determine the lasr light energies and the photosensitizer (PS) concentrations that are optimal. In this Phase I SBIR, Simphotek (prime institution), Tech-X (subaward institution) and University of Pennsylvania School of Medicine, i.e. UPenn (subaward institution) will investigate the feasibility of experimentally (UPenn) and computationally (Simphotek/Tech-X) guiding novel and easy-to-use mathematical and numerical methods for PDT. The software product(s) that result(s from the Phase I and Phase II SBIRs will be commercialized for PDT researchers, companies and medical personnel. This exploratory, yet crucial, project combines the knowledge of experts in several disciplines, including optics, mathematics and computer science (Simphotek), numerical algorithms for fast graphical processing units (GPUs) and Monte Carlo calculations (Tech-X) and medical physicists and translational biologists in PDT (UPenn). The commercialized software that results from the Phase I and Phase II SBIRs, will direct the resulting products to PS and PDT researchers and to PDT users worldwide.

描述（由申请人提供）：光动力疗法（PDT）用于治疗包括癌症在内的各种医疗状况。即使经过多年的PDT研究和医生对PDT处理的大规模使用，PDT也有许多方面，例如用于扩散光传播的定量预测和光材料相互作用的动力学，这些相互作用的动力学尚未充分理解。这可能会导致治疗结果的较大变化，治疗的剂量法是具有挑战性的，很难确定最佳的LASR光能和光敏剂（PS）浓度。在这一阶段，SBIR，Simphotek（Prime Institution），Tech-X（Subaward Institution）和宾夕法尼亚大学医学院，即Upenn（Subaward Institation）将调查可行性 实验性（UPENN）和计算（Simphotek/Tech-X）指导PDT的新颖且易于使用的数学和数值方法。结果（S阶段和第二阶段SBIR的S）将为PDT研究人员，公司和医疗人员进行商业化。该探索性但至关重要的是，项目将专家的知识结合在一起，包括光学，数学和计算机科学（Simphotek），数字算法和快速的图形化算法（MINTERITS）（MOINTERITS）（GPUS）（GPUS）（GPUS）（gpus）（gpus）（gpus）（gpus）（gpus）（gpus） PDT（UPENN）的转化生物学家。