HIGH RES BRAIN ATLAS--DATA ACQUISITION AND USER ACCESS

高分辨率大脑图谱——数据采集和用户访问

• 批准号: 2703130
• 负责人: RICHARD L SIDMAN
• 金额: $ 21.06万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-01 至 2000-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2703130
• 关键词: brain imaging /visualization /scanning; brain mapping; computer program /software; confocal scanning microscopy; dissection; histology; laboratory mouse; magnetic resonance imaging; neuroanatomy; publications; sectioning

The goal of this project is to produce a high resoluation electronic atlas of the brain in three dimensions (3D). A number of technical problems are addressed, including how to minimize distortions during the processing of the brain through steps of hardening (fixation), embedding in a rigid support medium, sectioning and staining. Other problems relate to the massive computer database and memory requirements for the large number of images at the closely spaced intervals through the brain necessary for resolution of 1 um or less in all three planes of space (1 um isomorphic voxels). To solve these problems, we propose to make an atlas of the small brain of the mouse, as a prelude to tackling the human brain. We will begin at a voxel resolution of 10 um, and procede to 3 um and 1 um (greater than 550 GB of image data). Novel technical methods for whole brain embedding and sectionaing in epoxy resin and for confocal microscopy of stable 3D data space, and for partially automated volumetric segmentation of brains packed with hundreds of 3D structures, many with comples shapes. Images will be warped to a high resolution MRI standard of the intact fixed head (100 um digital "slices" obtained with a 9.4 Tesla magnet). The uniquely high level of histological resolution in 3D will allow us to develop a new "white matter anatomy" by tracing the exact trajectories of myelinated fiber groups that intermingle so intimately in the white matter that they have been impossible to sort out by previously available characterization of brain structures. Chemical, genetic, and pathological data will be superimposable digitally onto the basic cell and myelin atlas templates. For ease of data storage and transmission, the atlas images will be compressed with wavelet compression algorithms, with an added substraction method that will allow the origical focus on the elucidation of the genetic gases for individual differences in brain organization. Remote users with their own research, educational, and public welfare needs, will be able to obtain the entire database, including capabilities for rotations and digital "resectioning" in any desired orientation, on new high capacity DVD disks, or will gain access to specific 2D and 3D images via a dedicated WWW page outfitted with a systematic and friendly query interface and VRML-based browser. Users needing to download atlas images will access the WWW pageover new high speed Asynchronous Transfer mode transmission lines.

该项目的目的是生产高分辨率电子 大脑在三个维度（3D）中的地图集。许多技术 解决问题，包括如何最大程度地减少扭曲 大脑通过硬化步骤（固定）处理， 嵌入刚性支撑培养基，切片和染色中。其他 问题与庞大的计算机数据库和内存有关 对紧密间隔的大量图像的要求 通过1 um或更少在1中的大脑间隔 所有三个空间平面（1 um同构体素）。解决这些 问题，我们建议制作小鼠小脑的地图集， 作为应对人脑的前奏。我们将从体素开始 分辨率为10 um，并且程序为3 um和1 um（大于550 图像数据的GB）。全脑嵌入的新型技术方法 和环氧树脂中的部分和稳定3D共聚焦显微镜 数据空间，以及部分自动化的体积分段 大脑挤满了数百个3D结构，许多结构 形状。图像将被扭曲为高分辨率的MRI标准 完整的固定头（用9.4 Tesla获得的100 UM数字“切片” 磁铁）。 3D中独特的组织学分辨率高度 允许我们通过追踪确切的确切来开发新的“白质解剖” 髓鞘纤维组的轨迹如此紧密地混合 他们不可能解决的白问题 先前可用的大脑结构表征。化学 遗传和病理数据将以数字化叠加到 基本细胞和髓磷脂图集模板。为了易于数据存储和 传输，地图集图像将用小波压缩 压缩算法，带有添加的缩写方法 允许阐明遗传气体的重点 大脑组织的个体差异。远程用户的 自己的研究，教育和公共福利需求将能够 获取整个数据库，包括旋转功能和 以新的高容量为单位的数字“切除” DVD磁盘，或将通过A访问特定的2D和3D图像 专用的www页面配有系统友好的查询 接口和基于VRML的浏览器。用户需要下载地图集 图像将访问www pageover新的高速异步 传输模式传输线。