ITR: Collaborative Research - \(ASE\) - \(DMC\): DDDAS: A Novel Grid Architecture Integrating Real-Time Data and Intervention During Image Guided Therapy

ITR：协作研究 - (ASE) - (DMC)：DDDAS：在图像引导治疗期间集成实时数据和干预的新型网格架构

• 批准号: 0426558
• 负责人: Simon Warfield
• 金额: --
• 依托单位: Brigham & Women's Hospital Inc
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-10-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0426558&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; ASE; DMC

The project's research involves development and deployment of an integrated and practical grid architecture for data driven intra-operative volumetric simulation of brain deformation during image guided therapy (IGT) and specifically for image guided neurosurgery (IGNS) to be employed in the operating room of the future. Preliminary work has resulted in a prototype dynamic data driven system, which resides locally in the operating room for IGNS that integrates data acquisition, surgical navigation, quantitative monitoring and enhanced real-time control. The proposed project will enable improvement in the safety and efficacy of brain tumor resection by extending the current system with a tightly coupled capability for interactively steered and adaptive data driven simulation of the dynamically shifting shape of the brain. Such simulation capability, integrated with real-time intra-operative data acquisition capability and real-time surgical resection, requires on-demand low latency fault tolerant robust and reliable access to remotely located significant compute capacity and data management resources from the operating room. Recent advances in grid infrastructure hold out the promise to pioneer such capability. The overall objective of this projectl is the development of a novel grid architecture integrating real- time data to allow intra-operative surgical decision-making and navigation during IGT. In addition this will provide database infrastructure for post-surgical analysis and modeling of data and image repositories. The project's information technology (IT) research is expected to have broad impact on clinical practice within a period of a few years.

该项目的研究涉及开发和部署图像指导治疗（IGT）期间大脑变形（IGT）的术中大脑变形（IGT）的综合且实用的网格结构，并专门用于未来手术室的图像指导神经外科手术（IGNS）。 初步工作导致了一个原型动态数据驱动系统，该系统位于当地的IGNS中，该系统集成了数据采集，手术导航，定量监视和增强实时控制。拟议的项目将通过以紧密耦合的能力扩展当前系统来改善脑肿瘤切除的安全性和功效，以互动转向和适应性数据驱动的大脑动态变化形状的模拟。这种模拟能力与实时术中数据采集能力和实时手术切除能力集成在一起，需要按需低延迟容错耐受性可靠且可靠地访问手术室的远程远程计算能力和数据管理资源。电网基础设施的最新进展具有开拓这种能力的承诺。该项目的总体目标是开发一种新型的网格体系结构，该网格体系结构集成了实时数据，以允许在IGT期间进行手术内部的决策和导航。 此外，这将提供数据库基础架构，用于手术后分析和数据和图像存储库的建模。预计该项目的信息技术（IT）研究将在几年内对临床实践产生广泛的影响。