Advanced Normalization Tools

高级标准化工具

• 批准号: 10708793
• 负责人: JAMES C GEE
• 金额: $ 68.01万
• 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/10708793
• 关键词: 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 该应用程序寻求开发下一代高级规范化工具（ANT）生态系统的支持，该生态系统是一个涵盖多个软件包和编程语言的开源库，其中包含全球众多研究人员社区使用的顶级算法。核心软件库 ANTs 建立在著名的 NIH 资助的 Insight Toolkit (ITK) 之上，并为之做出贡献，该工具包历来是开源算法和软件创新的重要资源。在长达十年的发展过程中，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问题 - 广泛的应用和已发表的研究文献样本从小生物体的研究从动物到人类，以及目标器官系统，如呼吸系统、心血管系统和神经系统。如今，ANTs 是一个免费的跨平台工具包，用于多模态图像处理，并继续树立该领域的标准。然而，尽管它成功地满足了广大研究人员的现实需求，但成像的使用迅速增长，以及解决越来越复杂的图像配准问题的相关需求，需要对 ANT 进行动态更新，以满足当前的需求。以及生物医学研究界的新需求。这一重大更新代表了 ANT 开发的首次专门资金支持申请，将包括该项目的四个具体目标：1）显着扩大能够从基于 AN Ts 的解决方案中受益的多种模式注册任务的范围； 2) 现代化并扩展该工具对超大型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者驱动的研究中验证其可靠性； 4) 加强对用户社区的支持和推广。这些发展将确保 ANT 面对计算和成像技术的重大进步时的长期生存能力，并使更广泛的研究受众能够在其科学成果中利用 ANT。

项目成果

ANTsX neuroimaging-derived structural phenotypes of UK Biobank.

英国生物银行的 ANTsX 神经影像衍生结构表型。

• DOI: 10.21203/rs.3.rs-3459157/v1
• 发表时间: 2023
• 期刊: Research square
• 作者: Tustison,NicholasJ;Yassa,MichaelA;Rizvi,Batool;Cook,PhilipA;Holbrook,AndrewJ;Sathishkumar,MithraT;Tustison,MiaG;Gee,JamesC;Stone,JamesR;Avants,BrianB
• 通讯作者: Avants,BrianB