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多种医疗状况。即使经过多年的 PDT 研究和医生大规模使用 PDT 治疗，PDT 的许多方面，例如漫射光传播的定量预测和光与材料相互作用的动力学，仍然没有得到很好的理解。这可能会导致治疗结果发生很大变化。特别是，治疗的剂量测定具有挑战性，并且很难确定最佳的激光能量和光敏剂 (PS) 浓度。在第一阶段 SBIR 中，Simphotek（主要机构）、Tech-X（subaward 机构）和宾夕法尼亚大学医学院，即 UPenn（subaward 机构）将研究可行性 实验 (UPenn) 和计算 (Simphotek/Tech-X) 指导新颖且易于使用的 PDT 数学和数值方法。第一阶段和第二阶段 SBIR 产生的软件产品将为 PDT 研究人员、公司和医务人员商业化。这个探索性但至关重要的项目结合了多个学科专家的知识，包括光学、数学和计算机科学 (Simphotek)、快速图形处理单元 (GPU) 和蒙特卡洛计算 (Tech-X) 的数值算法以及 PDT (UPenn) 中的医学物理学家和转化生物学家开发的商业化软件。来自第一阶段和第二阶段 SBIR 的研究人员将把所得产品提供给 PS 和 PDT 研究人员以及全球的 PDT 用户。