Neuroimaging Core

神经影像核心

• 批准号: 10439585
• 负责人: HENRY RUSINEK
• 金额: $ 32.29万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10439585
• 关键词: Aging; Algorithms; Alzheimer' s Disease; Alzheimer' s disease model; Alzheimer' s disease pathology; Alzheimer' s disease related dementia; Amyloid; Amyloid beta-Protein; Anatomy; Animal Model; Archives; Atrophic; Award; Biological Markers; Brain; Brain imaging; Carbon Dioxide; Classification; Clinical; Collaborations; Computer software; Consultations; Databases; Development; Diagnosis; Diagnostic; Diffusion; Early Diagnosis; Faculty; Funding; Future; Goals; Hippocampus (Brain); Human; Human Resources; Hydration status; Hydrogen; Image; Image Analysis; Imaging Device; Imaging technology; Impaired cognition; Iron; Kinetics; Lesion; Link; Machine Learning; Magnetic Resonance Imaging; Measures; Medial; Metabolism; Methods; Modeling; Molecular; Nerve Degeneration; Pathogenesis; Pathologic; Perfusion; Positron-Emission Tomography; Protocols documentation; Protons; Quality Control; Recommendation; Recovery; Reference Values; Research; Research Personnel; Research Project Grants; Resources; Risk Factors; Scientist; Sodium; Specimen; Standardization; Supervision; Techniques; Technology; Temporal Lobe; Thick; Training; Translating; United States National Institutes of Health; Validation; Work; abeta accumulation; abeta deposition; aging brain; animal imaging; base; cerebrovascular; clinical imaging; clinically relevant; data management; deep learning; design; entorhinal cortex; experience; hippocampal atrophy; image guided; image reconstruction; imaging approach; imaging modality; imaging study; improved; in vivo; machine learning model; metabolic rate; neuroimaging; neuropathology; predictive modeling; ranpirnase; reconstruction; tau Proteins; uptake; water diffusion; white matter

ABSTRACT- NEUROIMAGING CORE Neuroimaging Core continues its support of NYU ADRC with standardized image acquisitions and the development of new imaging protocols. The Core has evolved as a significant world-wide resource of imaging tools and metrics to study brain aging and to translates image-based animal models of AD to human studies. The Core includes faculty experienced in structural and functional neuroimaging whose work led to multiple NIH-funded awards designed to both identify early risk factors and elucidate mechanisms of AD progression. The three specific aims are: 1) to assure standard, quality-controlled protocols and provide key brain measures for all subjects; 2) to develop and validate new imaging modalities/software to support the scientific themes of NYU ADRC; and 3) to provide imaging guidance and training. To achieve these goals we will introduce amyloid and tau PET imaging to augment existing MRI sequences. We will provide stringent quality control, compile normative reference values for all image-derived metrics, and provide the Neuropathology Core with in vivo and post mortem MRI to validate anatomical findings. The core will also devote significant effort to add machine learning models to diagnostic and processing workflows.

摘要-神经影像核心 Neuroimaging Core 继续通过标准化图像采集和 开发新的成像协议。 Core 已发展成为全球重要的成像资源 研究大脑衰老以及将基于图像的 AD 动物模型转化为人类研究的工具和指标。 核心成员包括在结构和功能神经影像方面经验丰富的教师，他们的工作导致了多个 美国国立卫生研究院 (NIH) 资助的奖项旨在识别早期危险因素并阐明 AD 进展机制。 这三个具体目标是：1）确保标准、质量控制的方案并提供关键的大脑测量 对于所有科目； 2）开发和验证新的成像模式/软件以支持科学主题 纽约大学ADRC； 3) 提供影像指导和培训。为了实现这些目标，我们将引入淀粉样蛋白 和 tau PET 成像以增强现有的 MRI 序列。我们将提供严格的质量控制，编译 所有图像衍生指标的规范参考值，并为神经病理学核心提供体内 以及尸检 MRI 来验证解剖结果。核心还将投入大量精力来添加 诊断和处理工作流程的机器学习模型。