A Computational Facility for Neuroimaging Research

用于神经影像研究的计算设施

• 批准号: 6580225
• 负责人: GREGORY MCCARTHY
• 金额: $ 39.5万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6580225
• 关键词: biomedical equipment purchase; computer center; computer data analysis; computers; image processing; neuroimaging

DESCRIPTION (provided by applicant): Neuroimaging research using magnetic resonance imaging, magnetic resonance spectroscopy, magnetic resonance microscopy, and dense array electrical recording involves the acquisition of very large data structures that then must be transformed through a series of compute-intensive post-processing tasks into meaningful information. This project is jointly submitted by NIH-supported investigators at Duke University and the University of North Carolina who primarily use neuroimaging methods. The investigators are representative of four interdisciplinary centers that support neuroimaging research at these institutions: (1) The Duke-UNC Brain Imaging and Analysis Center (jointly funded by both universities), (2) the Center for In- Vivo Microscopy (a NIH National Research Resource Center), (3) the Center for Advanced Magnetic Resonance Development, and (4) the Center for Cognitive Neuroscience. The directors of these centers and their collaborating scientists have found that the sheer volume of data resulting from improved acquisition methods and improved hardware has made it increasingly difficult to fully analyze data in a timely manner. Some important computational processes are unfeasible, such as the creation of 3D chemical shift images. Other routine processes such as 3D spatial normalization of a time series of image volumes require many hours of processing on our single processor workstations. We are requesting funds to purchase a high performance multiprocessor computer to facilitate these and other processing requirements. Our proposal trades heavily upon the recent installation at Duke University of an IBM Storage Area Network (SAN) with capacious multi-terabyte storage capacity for the use of its high technology centers. The proposed multiprocessor system would be connected directly to this SAN via a fiber channel adapter. Thus, the benefits of the SAN to our group of investigators would be fully realized by the proposed computational resource. Our proposal also benefits from the close collaboration that already exists among the included centers in scientific endeavors, in the development of analytical software, and in the management of large research instruments.

描述（由申请人提供）：使用磁共振成像、磁共振波谱、磁共振显微镜和密集阵列电记录的神经影像研究涉及采集非常大的数据结构，然后必须通过一系列计算密集型后处理来转换这些数据结构任务转化为有意义的信息。该项目由 NIH 支持的杜克大学和北卡罗来纳大学的研究人员联合提交，他们主要使用神经影像学方法。研究人员代表了这些机构支持神经影像研究的四个跨学科中心：(1) 杜克大学-北卡罗来纳大学脑成像和分析中心（由两所大学共同资助），(2) 体内显微镜中心（NIH 国立卫生研究院）研究资源中心）、(3) 高级磁共振开发中心和 (4) 认知神经科学中心。这些中心的主任及其合作科学家发现，由于改进的采集方法和改进的硬件而产生的大量数据使得及时全面分析数据变得越来越困难。一些重要的计算过程是不可行的，例如 3D 化学位移图像的创建。其他常规过程（例如图像体积时间序列的 3D 空间标准化）需要在我们的单处理器工作站上进行多个小时的处理。我们正在请求资金购买高性能多处理器计算机，以满足这些和其他处理要求。 我们的建议主要基于杜克大学最近安装的 IBM 存储区域网络 (SAN)，该网络具有宽敞的多 TB 存储容量，供其高科技中心使用。所提议的多处理器系统将通过光纤通道适配器直接连接到该 SAN。因此，SAN 对我们研究小组的好处将通过所提议的计算资源得到充分实现。我们的建议还受益于所包括的中心之间在科学努力、分析软件开发和大型研究仪器管理方面已经存在的密切合作。