NEUROIMAGING CORE

神经成像核心的主要目标是利用图像采集服务于临床项目 和处理技术(项目1、项目2、项目3)，用于MRI成像和定量 结构磁共振成像(SMRI)和磁共振弥散张量成像(DTI)的测量 生物统计核心分析的量化结果。核心将提供最先进的高场 扫描仪MRI技术，包括用于新生儿成像的优化脉冲序列(3T西门子Allegra 成人(3T西门子三人组)和动物(布鲁克9.4T高场系统)。核心将提供很好的 建立和验证图像分析方法，并引入专门针对需求的新方法 这个项目的。这一核心特别重要，因为需要提供成像和定量 为几个项目服务的神经成像方法，合作的伟大记录 Gerig和Styner博士，以及Radiology MRI之间出色的、良好的合作 研究与小动物成像、精神病学、生物统计学、神经发育障碍研究 中心和神经成像分析实验室，使其有可能汇集优秀的互补 所有小组的专业知识。神经成像核心处理将由北卡罗来纳大学、犹他州和耶鲁大学共享 使用网络计算基础设施和安全数据传输的新功能。核心拥有 在多中心研究和处理其他站点的数据方面有丰富的经验。计划中的活动 可以从新生儿核磁共振和图像分析方面的强大专业知识中受益匪浅，这是一个特殊的领域， 北卡罗来纳大学已经成为领先的机构，拥有几个受资助的项目。小动物影像与影像 分析活动将得到该领域三名顾问和领导人的专业知识的支持(Susumu 森喜朗、约翰·斯莱德、迈克尔·泰斯卡)。鉴于我们多学科小组的专业知识和 我们的研究人员在对该项目至关重要的其他大型国家项目中的密切合作 (BIRN，NA-MIC，NLM ITK)，我们预计动物成像和相关领域也会有类似的快速发展 初步数据很好地记录了图像分析，利用了我们的经验 在具有挑战性的应用程序的推动下开发新的图像分析方法。 成像核心的服务将包括选择和开发最佳采集协议、数据 将图像数据传输到图像分析实验室，存储和归档临床和动物研究图像 数据，3D分割和定量分析，以获得大脑结构和路径的测量， 严格的验证和质量控制，并为统计分析准备结果数据。

The primary objective of the Neuroimaging Core is to serve the clinical projects utilizing image acquisition and processing technology (Project 1, Project 2, Project 3) for MRI imaging and for quantitative measurements of structural MRI (sMRI) and MR Diffusion Tensor Imaging (DTI) and to prepare the quantitative results for analysis by the Biostatistics Core. The core will provide state-of-the-art high-field scanner MRI technology including optimized pulse sequences for imaging of neonates (3T Siemens Allegra head-only), adults (3T Siemens Trio) and animals (Bruker 9.4T high-field system). The core will provide well established and validated image analysis methods and also introduce novel methods dedicated to the needs of this project. This core is particularly important because of the need to provide imaging and quantitative methods of neuroimaging to serve several of the projects, the great track record of collaboration between Drs Gerig and Styner, as well as the excellent, well established collaboration between Radiology MRI Research and small animal imaging, Psychiatry, Biostatistics, the Neurodevelopmental Disorders Research Center and the Neuroimaging Analysis Laboratory, making it possible to pool the excellent complementary expertise of all groups. The Neuroimaging Core processing will be shared between UNC, Utah and Yale using new capabilities of networked computing infrastructure and secure data transfer. The Core has profound experience with multi-center studies and processing data from other sites. The planned activities can substantially benefit from the strong expertise in neonatal MRI and image analysis, a special field where UNC has become a leading institution with several funded projects. The small animal imaging and image analysis activities will be supported by the expertise of three consultants and leaders in this field (Susumu Mori, John Sled, Michael Tyszka). Given the specialized expertise of our multi-disciplinary group and the close collaboration of our researchers in other large national programs of crucial importance for this project (BIRN, NA-MIC, NLM ITK), we expect to see a similar rapid development of animal imaging and related image analysis which is well documented by the preliminary data, leveraging our experience with development of novel image analysis methodology driven by challenging applications. The service of the Imaging Core will include selection and development of optimal acquisition protocols, data transfer of image data to the image analysis lab, storing and archiving of clinical and animal study image data, 3D segmentation and quantitative analysis to obtain measurements of brain structures and pathways, rigorous validation and quality control, and preparation of resulting data for statistical analysis.