Extending ezBIDS, NiiVue and dcm2niix for user-friendly cloud-based integration and visualization

扩展 ezBIDS、NiiVue 和 dcm2niix，以实现用户友好的基于云的集成和可视化

• 批准号: 10724895
• 负责人: Christopher Rorden
• 金额: $ 203.96万
• 依托单位: UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10724895
• 关键词: Address; BRAIN initiative; Brain imaging; Cloud Computing; Cloud Service; Code; Collaborations; Communication; Communities; Computer software; Computers; Data; Data Analyses; Data Set; Devices; Ensure; Environment; Excision; Face; Generations; Image; Image Analysis; Intention; Internet; Laboratories; Language; Libraries; Manufacturer; Maps; Methods; Modernization; Morphologic artifacts; Mus; Notification; Occupations; Personal Computers; Population; Pythons; Reproducibility; Research Design; Resolution; Role; Science; Scientist; Sequence Analysis; Standardization; System; Tablets; Techniques; Technology; Telephone; Touch sensation; United States National Institutes of Health; Visual; Visualization; Visualization software; Work; brain research; cloud based; cloud platform; computerized data processing; connectome; data anonymization; data format; data infrastructure; data management; data sharing; data standards; data structure; data visualization; design; graphical user interface; image processing; image visualization; imaging facilities; improved; innovation; innovative neurotechnologies; instrument; interest; neuroimaging; public repository; skills; software development; success; tool; trend; user-friendly; web page

Project Summary/Abstract Cloud-based analyses and easily shared data formats are revolutionizing neuroimaging. We will develop software to fill gaps created by these two trends. We will develop and refine software to visualize and analyze the data from the BRAIN Initiative. Our team’s visualization tools and dcm2niix conversion tools are core tools for our community. Our latest generation NiiVue brings our tools to the cloud. NiiVue uses innovative visualization techniques to display the voxel, mesh, streamline and connectome formats common in our field. NiiVue is able to work on any device – computer, phone or tablet and is able to exploit modern high-resolution displays, advanced graphics card capabilities as well as touch and mouse input. We will develop wrappers for our modular NiiVue software to address gaps in our field. First, we will extend our existing ezBIDS which eases the creation of shared data to improve intention prediction, make defacing more robust, provide visual confirmation for automated steps and ease transfer of anonymized data to public repositories. Second, our afNiiVue desktop tool will provide a modern interface for interacting with the AFNI numerical tools. Third, our cloud-based niiCloud web pages will aid scientists in configuring image processing and analyses as well as inspecting the results. Finally, the jupyter notebook based ipyNiiVue will provide state of the art visualization for scientists using Python.

项目摘要/摘要 基于云的分析和容易共享的数据格式正在彻底改变神经影像学。我们将发展 软件以填补这两个趋势创建的空白。我们将开发和完善软件以可视化和分析 大脑计划的数据。我们团队的可视化工具和DCM2Niix转换工具是核心工具 为我们的社区。我们的最新一代Niivue将我们的工具带入了云。 Niivue使用创新 可视化技术以显示我们领域常见的体素，网格，流线和连接格式。 Niivue能够在任何设备上工作 - 计算机，电话或平板电脑，并且能够利用现代高分辨率 显示，高级图形卡功能以及触摸和鼠标输入。我们将开发包装器 我们的模块化Niivue软件可以解决我们领域的空白。首先，我们将扩展现有的效率 创建共享数据以改善意图预测，使污损更健壮，提供视觉 确认自动步骤并简化匿名数据转移到公共存储库。第二，我们的 AFNIIVUE桌面工具将提供与AFNI数值工具进行交互的现代接口。第三，我们的 基于云的Niicloud网页将帮助科学家配置图像处理和分析以及 检查结果。最后，基于jupyter笔记本电脑的ipyniivue将提供最先进的可视化状态 科学家使用Python。