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：
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
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

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

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.

抽象的世界各地数以千计的医学研究人员使用 VTK（可视化工具包），这是一个开源、免费提供的软件开发工具包，提供先进的 3D 交互式可视化、图像处理他们要么直接在内部研究应用程序中使用 VTK，要么间接使用 VTK。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： Osirix、3D Slicer、BioImageXD、MedINRIA、SCIRun、ParaView 等此外，VTK 还提供。用于临床应用的 3D 可视化，例如 BrainLAB 的 VectorVision 手术引导系统和 Zimmer 的假肢设计和评估平台已被下载数十万次。自 1993 年首次发布以来，已发布了多次。考虑到其广泛的分布和普遍的使用，可以说 VTK 对医学研究和患者护理的影响比任何其他开源软件都大可视化包。该提案是为了回应我们从 VTK 医疗中心收到的大量请求。社区的目标如下： 1. 目标 1：自适应可视化框架：生成一个支持的集成框架根据数据大小平衡服务器端和客户端处理的可视化应用程序，分析要求和用户平台（例如手机、平板电脑或支持 GPU 的桌面）。 2. 目标2：集成的交互式应用程序：扩展VTK以支持多样性的编程从 C++ 到 JavaScript 再到 Python 的范例以及 Jupyter Notebooks 等相关工具，与深度学习技术等新兴技术相结合。 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 为无处不在的应用程序提供高帧速率和最小延迟的库，这些应用程序结合了低成本便携式设备，例如电话、超声波换能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、推广和验证：让 VTK 社区和拟议的项目参与进来外部顾问委员会在拟议工作和相应工作的创建和评估期间视频和交互式网络内容形式的现代数字文档。