Advanced Normalization Tools

高级标准化工具

• 批准号: 10445130
• 负责人: JAMES C GEE
• 金额: $ 70.49万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-30 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10445130
• 关键词: Body mass index; Qi; i(7q); tool

Summary This application seeks support to develop the next generation of the Advanced Normalization Tools (ANTs) ecosystem, an open-source library spanning multiple software packages and programming languages that houses top-performing algorithms used worldwide by a large community of researchers. The core software library, ANTs, is built upon and contributes to the well-known NIH-funded Insight Toolkit (ITK), which has historically been a significant resource of open-source algorithmic and software innovation. Over the course of its decade-long development, ANTs has enabled hundreds of academic and industrial scientists to meet modern quantitative imaging needs with particular focus on issues in biomedical imaging-a broad range of applications and published research literature sample the study of organisms from small animals to humans as well as target organ systems such as respiratory, cardiovascular, and nervous. Today, ANTs is a freely available, cross-platform toolkit for multiple modality image processing which continues to set the standard in the field. However, despite its success in meeting the real-world needs of a broad community of investigators, the rapidly growing use of imaging, and the associated need to solve ever more complex image registration problems, require a dynamic update of ANTs in order to meet current and emerging needs of the biomedical research community. This major update, representing the first ever application for dedicated funding support of ANTs development, will comprise of the four specific aims of this project: 1) to significantly broaden the range of multiple modality registration tasks able to benefit from AN Ts-based solutions; 2) to modernize and expand the tool's support of very large datasets and scalable computing platforms; 3) to provide reference registration protocols and validate their reliability in investigator-driven research studies; and 4) to enhance support and outreach to the user community. These developments will ensure the long-term viability of ANTs in the face of significant advancements in computing and imaging technologies, as well as enable an even broader research audience to leverage ANTs in their scientific output.

概括 该应用程序寻求支持，以开发下一代高级规范化工具（ANT）生态系统，这是一个开源库，涵盖了多种软件包和编程语言，该语言容纳了大型研究人员在全球范围内使用的最佳表现算法。核心软件库Ants是建立并为著名的NIH资助的Insight Toolkit（ITK）构成的，该工具包（ITK）历史上一直是开源算法和软件创新的重要资源。在过去的十年发展过程中，Ants使数百名学术和工业科学家能够满足现代定量成像需求，特别关注生物医学成像中的问题 - 广泛的应用和发表的研究文献对小动物到人类以及诸如呼吸系统系统系统的生物的研究进行了研究。如今，ANT是一种用于多种模态图像处理的免费可用的跨平台工具包，它继续在现场设置标准。但是，尽管它成功地满足了广泛的研究人员社区的现实需求，但成像的快速使用以及解决越来越复杂的图像注册问题的需求，需要对蚂蚁进行动态更新，以满足生物医学研究社区的当前和新兴需求。这一重大更新代表了有史以来对蚂蚁开发的专用资金支持的第一个应用程序，它将包括该项目的四个特定目标：1）显着扩大了能够从基于TS的解决方案中受益的多种方式注册任务的范围； 2）现代化和扩展工具对非常大的数据集和可扩展计算平台的支持； 3）提供参考注册方案并在研究人员驱动的研究中验证其可靠性； 4）增强支持和向用户社区的支持。这些发展将确保面对计算和成像技术的重大进步，蚂蚁的长期生存能力，并使甚至更广泛的研究受众能够利用蚂蚁的科学输出。