Core F: Neuroimaging Core

摘要 UCSF阿尔茨海默病研究中心（ADRC）的成像核心积极支持该中心， 管理高质量结构和功能MRI和PET数据集的采集、存档和处理 并将这些数据提供给ADRC和其他调查人员。在我们的P50中心以前的周期中，成像 核心一直是应用尖端的结构，功能和分子成像技术， 异质性队列在临床核心中随访。在这个新的P30应用中，成像核心将追求 目标1：图像的收集和存档以及图像数据库的维护。我们 将监督管理ADRC入组者的以下MRI和PET序列：MP-MRI、FLAIR， T2加权、DTI、ASL灌注、ICN-fMRI、淀粉样蛋白和tau PET扫描。我们会将所有 其他ADRC调查人员可以访问服务器上的图像，并提供定位和 下载图像进行分析我们还将把MRI和PET成像数据集上传到NACC， 分享，我们将随时回答有兴趣使用这些图像的调查人员的问题。目标二： 图像质量控制和预处理：我们将采用质量控制和预处理框架， DTI、ASL-MRI、ICN-fMRI以及淀粉样蛋白和tau PET图像，便于AD研究人员及其 纳入多模式分析。目标3：发展和传播标准和创新的 分析工具：我们将维护和完善一系列工具，以表征大脑中与疾病相关的变化。 体积，白色物质显微结构，白色物质高信号，基于fMRI的连接，大脑 灌注和PET配体结合，包括优化用于横截面和纵向分析的管道。 我们将进一步开发复杂的分类引擎，能够利用多种形式的数据和多种 我们的数据中的关系类型，例如基于机器学习的工具和体素方式的实现， 混合线性模型目标4：支持研究培训：我们将与研究教育合作 组件，将图像采集和分析的基本原理整合到研究培训计划中 并支持对希望将图像分析纳入其研究范围的个人进行额外培训 skills.在追求这些目标的过程中，成像核心将与所有其他ADRC核心进行广泛的交互， 朝着提高诊断准确性的共同目标前进， 机制，并通过改进临床试验设计来实现药物发现。

ABSTRACT The Imaging Core of the UCSF Alzheimer’s Disease Research Center (ADRC) actively supports the Center by managing acquisition, archiving, and processing of high quality structural and functional MRI and PET datasets and providing these data to ADRC and other investigators. In previous cycles of our P50 center, the Imaging Core has been a leader in applying cutting-edge structural, functional, and molecular imaging techniques to the heterogeneous cohorts followed in the Clinical Core. In this new P30 application, the Imaging Core will pursue the following aims: Aim 1: Collection and archiving of images and maintenance of an image database. We will supervise management of the following MRI and PET sequences from ADRC enrollees: MP-RAGE, FLAIR, T2-weighted, DTI, ASL perfusion, ICN-fMRI, and amyloid and tau PET scans. We will archive de-identified images on a server accessible to the rest of the ADRC investigators and provide tools for locating and downloading images for analysis. We will also upload MRI and PET imaging datasets to the NACC to facilitate sharing, and we will be available to answer questions for investigators interested in using these images. Aim 2: Image quality control and preprocessing: We will employ QC and pre-processing frameworks for MPRAGE, DTI, ASL-MRI, ICN-fMRI, and amyloid and tau PET images, facilitating their use by AD researchers and their integration into multi-modality analyses. Aim 3: Development and dissemination of standard and innovative analytic tools: We will maintain and refine an array of tools to characterize disease related changes in brain volume, white matter microstructure, white matter signal hyperintensity, fMRI-based connectivity, cerebral perfusion, and PET ligand binding, including optimizing pipelines for cross-sectional and longitudinal analyses. We will further develop sophisticated classification engines capable of utilizing multiple forms of data and multiple types of relationships within our data, such as machine-learning based tools and voxel-wise implementation of mixed linear models. Aim 4: Support research training: We will work with the Research Education Component to integrate basic principles of image acquisition and analysis into the research training program and support additional training of individuals who wish to incorporate image analysis into their set of research skills. In pursuing these aims, the Imaging Core will interact extensively with all other ADRC cores, working towards the common goals of improving diagnostic accuracy, forwarding our understanding of disease mechanisms, and enabling drug discovery by improving clinical trial design.