Multi-Scale Electronic Human Brain Atlas

多尺度电子人脑图谱

• 批准号: 9112024
• 负责人: SUSUMU MORI
• 金额: $ 35.44万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-30 至 2019-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9112024
• 关键词: Adopted; Anatomy; Atlases; Autopsy; Brain; Brain imaging; Cellular biology; Childhood; Clinical; Communities; Complement; Data; Databases; Diagnosis; Diffusion; Education; Educational process of instructing; Electronics; Environment; Equipment and supply inventories; Health; Healthcare; Histology; Human; Image; Image Analysis; Informatics; Internet; Knowledge; Label; Length; Link; Magnetic Resonance Imaging; Medical; Modality; Molecular Biology; Names; Nervous system structure; Neuraxis; Neurology; Neurons; Neurosciences; Organ; Population; Psychiatry; Publications; Records; Reference Books; Research; Research Infrastructure; Research Personnel; Resolution; Resources; Sampling; Secondary Schools; Services; Source; Structure; Students; System; Systems Biology; Testing; Text; Textbooks; Update; base; brain research; burden of illness; cloud based; college; education research; experience; in vivo; indexing; interest; medical schools; nervous system disorder; neuropathology; neurosurgery; novel; spatial relationship; tool; web based interface; white matter

DESCRIPTION (provided by applicant): In this application, we propose to develop a multi-scale, multi-modal human brain atlas. The atlas will integrate data with different spatial resolution acquired by modern in vivo MRI, ex vivo high-resolution MRI, and serial histology sections, covering 1 mm scale to less than 1mm. The whole-brain in vivo MRI of healthy subjects will provide the global coordinate system, to which all higher-resolution data will be registered, connecting anatomical information with different scales under the same coordinate system. This atlas will serve as an IT infrastructure to integrate and disseminate a large amount of text and image-based anatomical knowledge of the brain from different sources at different scales such as clinical MRI cases and histology sections. These contents will be organically related in the multi-scale atlas, providing a unique environment to organize, manage, present, and use the data provided by us as well as by users. We expect the multi-scale, multi-modal brain atlas will hugely enhance our ability to organize, manage, present, and utilize our knowledge about the brain. We believe we have unique resources and track-records to contribute to this promising endeavor; we have introduced one of the first 3D electronic atlases of the human brain. Our brain atlases have been adopted as one of the standard research tools for brain anatomy, contributed to more than 1,000 publications in the past. Our cloud-based image analysis service now supports more than 7,000 registered researchers worldwide. In this proposal, we will extend our past effort and establish a novel informatics platform for brain research, education, and clinical support through the following aims; Aim 1: To collect multi-scale, multi-modal human brain imaging data based on in vivo and ex vivo MRI and histology Aim 2: To build multi-scale atlas contents Aim 3: To build the multi-scale atlas interface Aim 4: To test the cloud-based information link to the atlas labels and coordinates

描述（由申请人提供）：在本申请中，我们提出开发多尺度、多模态人脑图谱。该图谱将整合通过现代体内MRI、体外高分辨率MRI和连续组织学切片获得的不同空间分辨率的数据，覆盖1 mm至小于1 mm的尺度。健康受试者的全脑体内MRI将提供全局坐标系，所有更高分辨率的数据将被配准到该坐标系，从而在同一坐标系下连接具有不同尺度的解剖信息。该地图集将作为一个信息技术基础设施，整合和传播大量的文本和基于图像的大脑解剖知识，这些知识来自不同规模的不同来源，如临床MRI病例和组织学切片。这些内容将在多尺度地图集中有机地联系起来，为组织、管理、呈现和使用我们和用户提供的数据提供一个独特的环境。 我们期望多尺度、多模态的大脑图谱将极大地增强我们组织、管理、呈现和利用大脑知识的能力。我们相信，我们拥有独特的资源和跟踪记录，可以为这一充满希望的奋进做出贡献;我们已经推出了第一个人类大脑的3D电子地图集。我们的大脑图谱已被采纳为大脑解剖学的标准研究工具之一，过去曾发表过1,000多篇论文。我们基于云的图像分析服务目前支持全球7，000多名注册研究人员。在本提案中，我们将扩展我们过去的努力，并通过以下目标建立一个新的信息学平台，用于脑研究，教育和临床支持：目标1：收集基于体内和体外MRI和组织学的多尺度，多模态人脑成像数据目标2：建立多尺度图谱内容目标3：建立多尺度图谱接口目标4：测试基于云的地图集标注和坐标信息链接