AIR Option 1: Technology Translation - A Portable Treatment Planning System for MR-Guided Thermal Therapy

AIR 选项 1：技术转化 - MR 引导热疗的便携式治疗计划系统

• 批准号: 1312048
• 负责人: David Thomas Fuentes
• 金额: $ 14.95万
• 依托单位: University of Texas, M.D. Anderson Cancer Center
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-05-01 至 2014-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1312048&HistoricalAwards=false
• 关键词: AIR; Option; Technology; Translation; Portable

This PFI: AIR Technology Translation project focuses on translating high performance mathematical models of bioheat transfer for reliably and accurately predicting and visualizing the outcome of laser induced thermal therapy. Minimally-invasive laser ablation is a medical procedure that provides a means of rapidly delivering heat to target diseased tissue in the body and will be used in this project to kill focal cancerous lesions in brain as well as diseased neurological tissue, such as epilepsy. The translated computing technology has the following unique features: (1) the predictive capabilities of the prototype device will assist in minimizing the surgical impact on the patient and (2) the prototype device will be tightly coupled to existing FDA approved procedures in humans and rigorously validated to assure accurate predictions. This provides exemplary improvement in the efficacy of the procedure as no comparable technology currently exists and the neurosurgeon does not have the capability to a-priori visualize outcomes for complex treatment scenarios (multiple lasers/trajectories) near essential anatomical structures. The project accomplishes this goal by utilizing hybrid multi-core and GPU computing architectures combined with sophisticated mathematical algorithms resulting in a portable, aggressively parallel, medical image driven prototype simulation device. The partnership engages industry (BioTex Inc.) and academic centers (Rice University and MD Anderson) to provide guidance in this minimally invasive neurosurgical market space as well as to commercialize and validate the technology as they pertain to the potential to translate the high performance computing technology along a path that may result in a competitive commercial reality. The potential economic impact is expected to improve treatment effectiveness within the yearly greater than 200,000 brain tumor cases and greater than 1 million epilepsy cases in the U.S. Within a 5-yr timeframe, this will contribute to the U.S. competitiveness in this minimally invasive neurosurgical market space. The societal impact, long term, will provide novel computational and mathematical tools for improving the safety and efficacy of computer assisted image guided therapy for this important medical application.

该 PFI：AIR 技术翻译项目专注于翻译生物热传递的高性能数学模型，以可靠、准确地预测和可视化激光诱导热疗的结果。微创激光消融是一种医疗程序，它提供了一种将热量快速传递到体内患病目标组织的方法，将在该项目中用于杀死大脑中的局灶性癌性病变以及患病的神经组织，例如癫痫。转换后的计算技术具有以下独特功能：(1) 原型设备的预测能力将有助于最大限度地减少手术对患者的影响；(2) 原型设备将与 FDA 批准的现有人体程序紧密结合，并经过严格验证，以确保准确的预测。这提供了手术效率的示范性改进，因为目前不存在类似的技术，并且神经外科医生没有能力先验地可视化基本解剖结构附近的复杂治疗场景（多个激光/轨迹）的结果。该项目通过利用混合多核和 GPU 计算架构以及复杂的数学算法来实现这一目标，从而形成便携式、高度并行、医学图像驱动的原型模拟设备。该合作伙伴关系涉及行业（BioTex Inc.）和学术中心（莱斯大学和 MD 安德森），为微创神经外科市场领域提供指导，并对该技术进行商业化和验证，因为它们涉及将高性能计算技术沿着可能导致竞争性商业现实的道路转化的潜力。潜在的经济影响预计将提高美国每年超过 20 万例脑肿瘤病例和超过 100 万例癫痫病例的治疗效果。在 5 年内，这将有助于提高美国在微创神经外科市场领域的竞争力。从长远来看，社会影响将为提高这一重要医疗应用的计算机辅助图像引导治疗的安全性和有效性提供新颖的计算和数学工具。