Advanced Normalization Tools
高级标准化工具
基本信息
- 批准号:10708793
- 负责人:
- 金额:$ 68.01万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:
项目摘要
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.
总结
该应用程序寻求支持以开发下一代高级规范化工具(ANTs)生态系统,这是一个跨多个软件包和编程语言的开源库,其中包含全球大型研究人员社区使用的最高性能算法。核心软件库ANT是建立在著名的NIH资助的Insight Toolkit(ITK)基础上的,ITK在历史上一直是开源算法和软件创新的重要资源。在其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的需求,特别关注生物医学成像的问题-广泛的应用和已发表的研究文献样本,从小动物到人类以及呼吸,心血管和神经等靶器官系统的生物体研究。今天,ANTs是一个免费提供的跨平台工具包,用于多模态图像处理,并继续在该领域设定标准。然而,尽管它成功地满足了广泛的研究者群体的现实需求,但成像的快速增长的使用以及解决越来越复杂的图像配准问题的相关需求,需要动态更新ANT,以满足生物医学研究群体当前和新兴的需求。这一重大更新代表了有史以来第一次为ANTs开发提供专项资金支持的申请,将包括该项目的四个具体目标:1)显著扩大能够从基于ANTs的解决方案中受益的多模态配准任务的范围; 2)现代化并扩大该工具对超大数据集和可扩展计算平台的支持; 3)提供参考登记协议,并验证其在由计算机驱动的研究中的可靠性;以及4)加强对用户社区的支持和推广。这些发展将确保ANTs在计算和成像技术取得重大进步的情况下的长期生存能力,并使更广泛的研究受众能够在其科学产出中利用ANTs。
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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:
- 影响因子:0
- 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
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JAMES C GEE其他文献
JAMES C GEE的其他文献
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{{ truncateString('JAMES C GEE', 18)}}的其他基金
Multi-scale and multi-modality imaging of neuropathology in VCID
VCID 神经病理学的多尺度、多模态成像
- 批准号:
10812034 - 财政年份:2023
- 资助金额:
$ 68.01万 - 项目类别:
Establishing Common Coordinate Framework for Quantitative Cell Census in Developing Mouse Brains
建立小鼠大脑发育中定量细胞普查的通用坐标框架
- 批准号:
10088508 - 财政年份:2020
- 资助金额:
$ 68.01万 - 项目类别:
International Conference on Information Processing in Medical Imaging 2019
2019年医学影像信息处理国际会议
- 批准号:
9760660 - 财政年份:2019
- 资助金额:
$ 68.01万 - 项目类别:
ITK-Lung: A Software Framework for Lung Image Processing and Analysis
ITK-Lung:肺部图像处理和分析的软件框架
- 批准号:
9325271 - 财政年份:2017
- 资助金额:
$ 68.01万 - 项目类别:
A Community Resource for Single Cell Data in the Brain
大脑中单细胞数据的社区资源
- 批准号:
9415946 - 财政年份:2017
- 资助金额:
$ 68.01万 - 项目类别:
SHAPE OPTIMIZING DIFFEOMORPHISMS FOR COMPUTATIONAL BIOLOGY
计算生物学的形状优化微分形
- 批准号:
8363477 - 财政年份:2011
- 资助金额:
$ 68.01万 - 项目类别: