High Resolution, Comprehensive Atlases of the Human Brain Morphology

高分辨率、全面的人脑形态图谱

• 批准号: 10165186
• 负责人: Sylvain Bouix
• 金额: $ 26.85万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2020-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10165186
• 关键词: 3-Dimensional; Administrative Supplement; Anatomy; Atlases; Award; Back; Brain; Cloud Computing; Cloud Service; Collaborations; Communication; Communities; Computer software; Custom; Data; Data Provenance; Databases; Descriptor; Development; Environment; Exposure to; Future; Goals; Human; Image; Image Analysis; Internet; Label; Language; Libraries; Life Cycle Stages; Magnetic Resonance; Magnetic Resonance Imaging; Manuals; Medical Imaging; Online Systems; Parents; Process; Protocols documentation; Publishing; Quality Control; Readiness; Recording of previous events; Resolution; Science; Structure; Testing; United States National Institutes of Health; Work; application programming interface; automated image analysis; base; brain morphology; cloud based; computerized; connectome; crowdsourcing; data access; data warehouse; design; experimental study; human data; human imaging; image visualization; imaging Segmentation; improved; interest; interoperability; open data; open source; parent grant; software infrastructure; task analysis; tool; user-friendly; virtual experiments; virtual laboratory; web app; web-accessible; web-based tool

Project Summary The overall goal of our parent award (R01MH112748) is to manually label 200 magnetic resonance (MR) images from the Human Connectome Project (HCP) into a set of neuroanatomical structures that are more refined and accurate than current MR atlases. One important component of our software contribution efforts has been the development of a custom neurosegmentation module in 3D Slicer, a desktop-based open source image analysis platform with a wide user base and 20-year history. While the desktop solution is efficient for a single user storing all data locally, it is not well-suited for collaborative work on data stored in the cloud (in our case data from the HCP). We thus propose to refactor the custom 3D Slicer module into a web-based editor with a centralized access-controlled database of images that can be deployed on cloud infrastructures. One added feature will be to codify our manual segmentation process into a computerized workflow. These workflows will allow us to more easily adapt and scale the software. Additionally, we will be able to record and publish image segmentation workflows, as well as provenance information for all files generated by these segmentation processes, thereby improving our compliance with open and rigorous science best practices. The project will consist of four aims (i) refactoring core functionalities into web-based tools, (ii) description of our interactive segmentation workflows into a computerized language, (iii) integration of the tools and workflows into SPINE, a web-based virtual laboratory platform, and (iv) deployment on commercial cloud services with proper communication protocols to interact with public data repositories.

项目摘要 我们的家长奖(R01MH112748)的总体目标是手动标记200个磁共振(MR) 从人类连接组计划(HCP)到一组神经解剖结构的图像，这些结构比 比目前的mr图谱更精炼和准确。我们软件贡献工作的一个重要组成部分是 我在3D Slicer中开发了一个定制的神经分割模块，这是一个基于桌面的开源图像 分析平台拥有广泛的用户基础和20年的历史。虽然台式机解决方案对于单个 用户将所有数据存储在本地，因此不太适合对存储在云中的数据进行协作(在我们的情况下 来自HCP的数据)。因此，我们建议将自定义3D切片器模块重构为基于Web的编辑器，该编辑器具有 可部署在云基础架构上的集中式访问控制映像数据库。增加了一个 功能将是将我们的手动分割过程编入计算机化的工作流程。这些工作流程将 使我们能够更轻松地调整和扩展软件。此外，我们将能够记录和发布图像 分段工作流，以及由这些分段生成的所有文件的来源信息 过程，从而改善我们对开放和严格的科学最佳实践的遵守情况。该项目将 包括四个目标(I)将核心功能重构为基于Web的工具，(Ii)描述我们的交互 将工作流程分割成计算机化的语言，(3)将工具和工作流程整合到脊柱中，a 基于Web的虚拟实验室平台，以及(Iv)在商业云服务上部署适当的 与公共数据存储库交互的通信协议。