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:
    10091434
  • 负责人:
  • 金额:
    $ 49.89万
  • 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 2023-01-31
  • 项目状态:
    已结题

项目摘要

Abstract 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 data analysis 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, SCIRun, ParaView, and others. Furthermore, VTK also provides 3D visualizations for clinical applications such as BrainLAB’s VectorVision surgical guidance system and Zimmer’s prosthesis design and evaluation platform. 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 multitude of requests we have been receiving from the VTK medical community. The aims are as follows: 1. Aim 1: Adaptive visualization framework: Produce an integrated framework that supports visualization applications that balance server-side and client-side processing depending on data size, analysis requirements, and the user platform (e.g., phone, tablet, or GPU-enabled desktop). 2. Aim 2: Integrated, interactive applications: Extend VTK to support a diversity of programming paradigms ranging from C++ to JavaScript to Python and associated tools such as Jupyter Notebooks, integrating with emerging technologies such as deep learning technologies. 3. Aim 3: Advanced rendering, including AR/VR: Target shader-based rendering systems and AR/VR libraries that achieve high frame rates with minimal latency for ubiquitous applications that combine low-cost, portable devices such as phones, ultrasound transducers, and other biometric sensors for visually monitoring, guiding, and delivering advanced healthcare. 4. Aim 4: Infrastructure, Outreach, and Validation: Engage the VTK community and the proposed External Advisory Board during the creation and assessment of the proposed work and corresponding modern, digital documentation in the form of videos and interactive web-based content.
摘要

项目成果

期刊论文数量(0)
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专利数量(0)

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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:
    $ 49.89万
  • 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:
    $ 49.89万
  • 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:
    $ 49.89万
  • 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:
    $ 49.89万
  • 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:
    $ 49.89万
  • 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:
    8652452
  • 财政年份:
    2013
  • 资助金额:
    $ 49.89万
  • 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:
    $ 49.89万
  • 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:
    $ 49.89万
  • 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:
    $ 49.89万
  • 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:
    $ 49.89万
  • 项目类别:

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