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
• 负责人: STEPHEN R AYLWARD
• 金额: $ 51.02万
• 依托单位: KITWARE, INC.
• 依托单位国家: 美国
• 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
• 来源: https://reporter.nih.gov/project-details/9910382
• 关键词: 3-Dimensional; Adopted; Algorithmic Analysis; Algorithms; Bioinformatics; Biomechanics; Biomedical Technology; Biometry; Client; Cloud Computing; Cloud Service; Code; Communities; Computational Geometry; Computer software; Data; Data Analyses; Development; Devices; Documentation; Emerging Technologies; Ensure; Environment; Equilibrium; Evaluation; Explosion; Foundations; Funding; Grant; Health Technology; Healthcare; Hybrids; Image Analysis; Industry; Infrastructure; Internet; Language; Letters; Libraries; Licensing; Medical; Medical Imaging; Medical Research; Methods; Modernization; Monitor; Online Systems; Operative Surgical Procedures; Patient Care; Prevalence; Process; Prosthesis Design; Publications; Pythons; Research; Research Personnel; Resources; Side; Surveys; System; Tablets; Techniques; Technology; Telephone; TensorFlow; Testing; Time; Training; Ultrasonic Transducer; Update; Validation; Virtual and Augmented reality; Visual; Visualization; Work; base; clinical application; cloud based; computerized data processing; cost; deep learning; deep learning algorithm; design; digital; health care delivery; image processing; innovation; interest; learning strategy; meetings; new technology; open source; outreach; point of care; portability; processing speed; real world application; response; sensor; software development; statistics; success; supercomputer; synergism; three-dimensional visualization; tool; trend; web services

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.

抽象的 世界各地成千上万的医学研究人员使用VTK（可视化工具包），一种开源工具包， 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 和数据分析算法。他们要么直接在内部研究应用中使用VTK，要么间接使用 通过使用VTK构建的大量医学图像分析和生物信息学应用程序之一： Osirix，3d Slicer，Bioimagexd，Medinia，Scirun，Paraview等。此外，VTK还提供 用于临床应用的3D可视化，例如Br​​ainlab的Vectorvision手术指导系统和 Zimmer的假体设计和评估平台。 VTK已下载数十万 自1993年最初发行以来的时间。考虑到其广泛的分布和普遍使用，可以说 VTK对医学研究和患者护理的影响要比其他任何开源更大 可视化软件包。 该建议是回应我们从VTK Medical收到的多种请求 社区。目的如下： 1。目标1：自适应可视化框架：生成支持的集成框架 可视化应用程序平衡服务器端和客户端处理，具体取决于数据大小， 分析要求和用户平台（例如电话，平板电脑或启用GPU的桌面）。 2。目标2：集成的交互式应用：扩展VTK以支持各种编程 从C ++到JavaScript到Python的范例以及相关工具，例如Jupyter Notebooks， 与新兴技术（例如深度学习技术）集成。 3。目标3：高级渲染，包括AR/VR：基于目标着色器的渲染系统和AR/VR 与无处不在的应用相结合的无处不在的延迟率的图书馆 低成本的便携式设备，例如电话，超声传感器和其他生物识别传感器 视觉监控，指导和提供先进的医疗保健。 4。目标4：基础设施，外展和验证：参与VTK社区和拟议的社区 在创建和评估拟议的工作和信函期间的外部顾问委员会 现代数字文档以视频和基于交互式网络的内容的形式形式。