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

该项目的研究涉及开发和部署一个集成和实用的网格架构，用于图像引导治疗（IGT）期间脑变形的数据驱动术中体积模拟，特别是用于未来手术室中使用的图像引导神经外科（IGNS）。 初步工作已经产生了一个原型动态数据驱动系统，该系统位于IGNS的手术室中，集成了数据采集、手术导航、定量监测和增强的实时控制。拟议的项目将通过扩展当前系统的紧密耦合能力来提高脑肿瘤切除术的安全性和有效性，以交互式操纵和自适应数据驱动模拟大脑的动态变化形状。这种模拟能力与实时术中数据采集能力和实时手术切除相结合，需要按需低延迟容错鲁棒和可靠地从手术室访问远程定位的重要计算能力和数据管理资源。网格基础设施的最新进展为开拓这种能力提供了希望。该项目的总体目标是开发一种新的网格架构，该架构集成了真实的实时数据，以便在IGT期间进行术中手术决策和导航。 此外，这将提供数据库基础设施，用于术后分析和数据和图像存储库的建模。该项目的信息技术（IT）研究预计将在几年内对临床实践产生广泛影响。

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.