Neuroimaging Core

神经影像核心

基本信息

批准号：
10643946
负责人：
HENRY RUSINEK
金额：
$ 29.31万
依托单位：
NEW YORK UNIVERSITY SCHOOL OF MEDICINE
依托单位国家：
美国
项目类别：
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/10643946
关键词：
Aging Algorithms Alzheimer&apos s Disease Alzheimer&apos s disease model Alzheimer&apos s disease pathology Alzheimer&apos s disease related dementia Amyloid Amyloid beta-Protein Anatomy Animal Model Archives Atrophic Autopsy Award Biological Markers Blood Vessels Brain Brain imaging Carbon Dioxide Classification Clinical Collaborations Computer software Consultations Databases Development Diagnosis Diagnostic Diffusion Early Diagnosis Early identification Faculty Funding Future Goals Hippocampus 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 Techniques Technology Temporal Lobe Thick Training Translating United States National Institutes of Health Validation Work abeta accumulation abeta deposition aging brain animal imaging 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 reconstruction tau Proteins uptake water diffusion white matter

项目摘要

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。