CORE--IMAGE ANALYSIS

核心--图像分析

• 批准号: 7434501
• 负责人: HENRY SUNG-CHENG HUANG
• 金额: $ 20.47万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 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/7434501
• 关键词: Address; Alzheimer' s Disease; Applications Grants; Archives; Biological; Brain; Brain Mapping; Confusion; Data; Data Analyses; Databases; Ensure; Evaluation; Functional Imaging; Functional Magnetic Resonance Imaging; Generations; Goals; Image; Image Analysis; Imaging Techniques; Internet; Investigation; Magnetic Resonance Imaging; Maps; Measures; Modality; Operative Surgical Procedures; Positron-Emission Tomography; Procedures; Process; Program Research Project Grants; Research Personnel; Research Project Grants; Resources; Surface; System; Thick; Time; animal data; base; brain volume; computerized data processing; gray matter; human study; human subject; image processing; programs

A large volume of image data, to be shared by multiple investigators, will be generated in this program project. These image data, which include MRI and PET of multiple probes and some of which are repeated at different time points, need to be orderly organized, reliably archived, and conveniently accessible by investigators. Furthermore, image processing and analysis procedures need to be performed reliably and consistently among different projects. The goal of this core is thus to provide image handling and analysis resources to support the investigators of the three projects of this Program Project Grant to facilitate their scientific investigations. The Image Analysis Core has three specific aims. Aim 1. To organize image data orderly to allow convenient investigator access and to control image quality and integrity of images. Aim 2. To streamline and to unify image processing, and to extract biologically relevant information from images. Aim 3. To integrate the extracted information and to perform statistical analysis and evaluation. An Internet-based image database system will be set up and maintained to address Aim 1. Aims 2 and 3 encompass many image and data analysis operations. Images of multiple modalities for each subject will be co-registered, and parametric images (with direct biological/functional meaning) will be generated from PET studies. Afterward, two rriajor analyses will be performed. One is to align images of different subjects to a common reference set, from which both ROI analysis and pixel-based analysis will be performed over the entire 3D volume of the brain. The second major analysis is to map the brain hemispheric cortical surface of different subjects to a reference set. From the derived mapping, cortical measures that include gray matter thickness and PET-derived functional activities can be determined for the brain cortical surface. Statistical analyses will be performed in close interaction with investigators of the three research projects. For image data of animal studies, a separate image database, similar to the one for images of human subjects, will be set up. The procedures of image co-registration and the generation of biological/functional images will parallel those for human studies.

本项目将产生大量的图像数据，供多个研究者共享。这些图像数据包括多个探头的MRI和PET，其中一些在不同时间点重复，需要有序组织，可靠存档，并方便研究者访问。此外，图像处理和分析程序需要在不同的项目中可靠和一致地执行。因此，该核心的目标是提供图像处理和分析资源，以支持该计划项目赠款的三个项目的研究人员，以促进他们的科学调查。图像分析核心有三个具体目标。 目标1。有序组织图像数据，方便研究者访问，控制图像质量和图像完整性。 目标二。简化和统一图像处理，并从图像中提取生物相关信息。 目标3.整合提取的信息，并进行统计分析和评价。 将建立和维护一个基于互联网的图像数据库系统，以实现目标1。目标2和3包含许多图像和数据分析操作。将共同配准每例受试者的多种模态图像，并从PET研究中生成参数图像（具有直接生物学/功能意义）。之后，将进行两项主要分析。一种是将不同受试者的图像与共同的参考集对齐，从该参考集将在大脑的整个3D体积上执行ROI分析和基于像素的分析。第二个主要分析是将不同受试者的大脑半球皮层表面映射到参考集。从所导出的映射，可以针对大脑皮层表面确定包括灰质厚度和PET导出的功能活动的皮层测量。 统计分析将在与三个研究项目的研究者密切互动的情况下进行。对于动物研究的图像数据，将建立一个单独的图像数据库，类似于人类受试者图像数据库。图像配准和生物/功能图像的生成过程将与人体研究的过程平行。