Accelerating Community-Driven Medical Innovation with VTK

借助 VTK 加速社区驱动的医疗创新

基本信息

  • 批准号:
    8652452
  • 负责人:
  • 金额:
    $ 61.07万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-05-01 至 2017-04-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Thousands of medical researchers around the world use VTK -the Visualization Toolkit- an open-source, freely available software development toolkit providing advanced 3D interactive visualization, image processing and analytics algorithms. They either use VTK directly in their in-house research applications or indirectly via one of the multitude of medical image analysis and bioinformatics applications that is built using VTK: Osirix, 3D Slicer, BioImageXD, MedINRIA, VR-Render, GIMIAS, SCIRun, VolView, IGSTK, and others. Furthermore, VTK also provides 3D visualizations for clinical applications such as BrainLAB's Vector Vision surgical guidance system. VTK has been downloaded many hundreds of thousands of times since its initial release in 1993. Considering its broad distribution and prevalent use, it can be argued that VTK has had a greater impact on medical research, and patient care, than any other open-source visualization package. This proposal is in response to the crescendo of requests we have been receiving from the VTK medical community. The aims are as follows: 1. Update the VTK graphics infrastructure to support efficient representation and rendering of large data, visualizing data over the web and on mobile platforms, and interactively exploring data using 3D widgets. 2. Manage the growth of VTK and its large open-source community by enabling multiple channels whereby code can be easily contributed, discovered, downloaded, and used as modular extensions to VTK. 3. Conduct targeted outreach to maximize the impact of the proposed VTK enhancements on the medical community. We will work collaboratively with five world-leading research labs throughout the proposed process, including the Virtual Lung Project at The University of North Carolina at Chapel Hill, the Institute for Computational Medicine at Johns Hopkins University, and three other labs.
描述(由申请人提供):世界各地成千上万的医学研究人员使用VTK -可视化工具包-一种开源、免费提供的软件开发工具包,提供高级3D交互式可视化、图像处理和分析算法。他们要么在内部研究应用程序中直接使用VTK,要么通过使用VTK构建的众多医学图像分析和生物信息学应用程序之一间接使用VTK:Osirix,3D Slicer,BioImageXD,MedINRIA,VR-Render,GIMIAS,SCIRun,VolView,IGSTK等。此外,VTK还为临床应用提供3D可视化,例如BrainLAB的Vector Vision手术引导系统。自1993年首次发布以来,VTK已经被下载了数十万次。考虑到它的广泛分布和普遍使用,可以说VTK对医学研究和患者护理的影响比任何其他开源可视化包都要大。 这项建议是为了回应我们从VTK医学界收到的越来越多的请求。本文的研究目的如下:1.更新VTK图形基础架构,以支持大数据的高效表示和渲染,通过Web和移动的平台可视化数据,以及使用3D小部件交互式地探索数据。 2.通过启用多个渠道来管理VTK及其大型开源社区的增长,从而可以轻松地贡献,发现,下载代码并将其用作VTK的模块化扩展。 3.开展有针对性的外联活动,以最大限度地扩大拟议的VTK增强功能对医学界的影响。在整个拟议过程中,我们将与五个世界领先的研究实验室合作,包括位于查佩尔山的北卡罗来纳州大学的虚拟肺项目、约翰霍普金斯大学的计算医学研究所以及其他三个实验室。

项目成果

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STEPHEN R AYLWARD其他文献

STEPHEN R AYLWARD的其他文献

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{{ truncateString('STEPHEN R AYLWARD', 18)}}的其他基金

Slicer+PLUS: Collaborative, open-source software for ultrasound analysis
Slicer PLUS:用于超声分析的协作开源软件
  • 批准号:
    9535994
  • 财政年份:
    2016
  • 资助金额:
    $ 61.07万
  • 项目类别:
Slicer+PLUS: Collaborative, open-source software for ultrasound analysis
Slicer PLUS:用于超声分析的协作开源软件
  • 批准号:
    9750736
  • 财政年份:
    2016
  • 资助金额:
    $ 61.07万
  • 项目类别:
Automated Assessment of Leptomeningeal Collaterals on CT Angiograms
CT 血管造影上软脑膜循环的自动评估
  • 批准号:
    8905209
  • 财政年份:
    2015
  • 资助金额:
    $ 61.07万
  • 项目类别:
Automated Assessment of Leptomeningeal Collaterals on CT Angiograms
CT 血管造影上软脑膜循环的自动评估
  • 批准号:
    9622038
  • 财政年份:
    2015
  • 资助金额:
    $ 61.07万
  • 项目类别:
Multimodality image-based assessment system for traumatic brain injury
基于图像的多模态脑外伤评估系统
  • 批准号:
    8601141
  • 财政年份:
    2013
  • 资助金额:
    $ 61.07万
  • 项目类别:
Accelerating Community-Driven Medical Innovation with VTK
借助 VTK 加速社区驱动的医疗创新
  • 批准号:
    10091434
  • 财政年份:
    2013
  • 资助金额:
    $ 61.07万
  • 项目类别:
In-field FAST Procedure Support and Automation
现场 FAST 程序支持和自动化
  • 批准号:
    8472102
  • 财政年份:
    2013
  • 资助金额:
    $ 61.07万
  • 项目类别:
Multimodality image-based assessment system for traumatic brain injury
基于图像的多模态脑外伤评估系统
  • 批准号:
    8453963
  • 财政年份:
    2013
  • 资助金额:
    $ 61.07万
  • 项目类别:
Accelerating Community-Driven Medical Innovation with VTK
借助 VTK 加速社区驱动的医疗创新
  • 批准号:
    9910382
  • 财政年份:
    2013
  • 资助金额:
    $ 61.07万
  • 项目类别:
Accelerating Community-Driven Medical Innovation with VTK
借助 VTK 加速社区驱动的医疗创新
  • 批准号:
    8505967
  • 财政年份:
    2013
  • 资助金额:
    $ 61.07万
  • 项目类别:

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