NEUROIMAGING CORE

神经影像核心

• 批准号: 8268545
• 负责人: Martin Andreas Styner
• 金额: $ 29.48万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8268545
• 关键词: Adult; Allegra; Animals; Archives; Atlases; Aventyl; Behavioral; Bioinformatics; Biometry; Biostatistics Core; Brain; Cerebellum; Cerebral Ventricles; Classification; Clinical; Collaborations; Data; Development; Diffusion; Diffusion Magnetic Resonance Imaging; Functional Magnetic Resonance Imaging; Funding; Head; Hippocampus (Brain); Human; Image; Image Analysis; Infant; Institution; Laboratories; Lobar; Lobe; Magnetic Resonance Imaging; Manuals; Measurement; Medical Imaging; Methodology; Methods; Morus; Mothers; Motion; Neonatal; Neurobiology; Neurodevelopmental Disorder; Newborn Infant; Noise; Occipital lobe; Parietal Lobe; Pathway Analysis; Pathway interactions; Physiologic pulse; Preparation; Process; Property; Protocols documentation; Psychiatry; Quality Control; Radiology Specialty; Recording of previous events; Research; Research Infrastructure; Research Personnel; Research Project Grants; Resolution; Rodent; Scanning; Secure; Services; Signal Transduction; Site; Sledding; Statistical Data Interpretation; Stratum Granulosum; Structure; System; Technology; Tectum Mesencephali; Temporal Lobe; Tissues; Universities; Utah; Validation; base; brain tissue; cocaine use; computational anatomy; computerized data processing; experience; frontal lobe; gray matter; imaging modality; improved; insight; interest; morphometry; neonate; neuroimaging; novel; programs; putamen; quality assurance; success; tool; white matter

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.

Neuroimaging Core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 测量结构MRI（sMRI）和MR扩散张量成像（DTI），并准备 生物统计学核心分析的定量结果。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（3 T Siemens Allegra 仅头部）、成人（3 T Siemens Trio）和动物（Bruker 9.4T高场系统）。核心将提供良好的 建立和验证的图像分析方法，还介绍了专门用于需求的新方法 这个项目的。这个核心是特别重要的，因为需要提供成像和定量 神经成像的方法，以服务于几个项目，伟大的合作记录之间 Gerig和Styner博士，以及放射MRI之间建立良好的合作关系， 研究和小动物成像，精神病学，生物统计学，神经发育障碍研究 中心和神经影像分析实验室，使其能够汇集优秀的互补性 所有群体的专业知识。神经成像核心处理将在犹他州、犹他州和耶鲁大学之间共享 使用网络计算基础设施和安全数据传输的新能力。核心 在多中心研究和处理来自其他研究中心的数据方面拥有丰富的经验。计划活动 可以从新生儿MRI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， 该研究所已成为一个领先的机构，有几个资助的项目。小动物影像学 分析活动将得到三位顾问和该领域领导人（Susumu Mori，John Sled，Michael Tyszka）.鉴于我们的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计划中的密切合作 (BIRN，NA-MIC，NLM ITK），我们希望看到动物成像和相关的快速发展。 图像分析，这是有据可查的初步数据，利用我们的经验， 开发由具有挑战性的应用驱动的新型图像分析方法。 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，存储和存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，以及为统计分析准备所得数据。