Accelerating Community-Driven Medical Innovation with VTK

摘要 世界各地数以千计的医学研究人员使用VTK--可视化工具包--一个开源的、 可免费获得的软件开发工具包提供高级3D交互可视化、图像处理 和数据分析算法。他们可以直接在内部研究应用程序中使用VTK，也可以间接使用 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 临床应用的3D可视化，如BrainLab的VectorVision手术引导系统和 齐默尔的假体设计和评估平台。VTK已经被下载了数十万次 自1993年首次发布以来，它已经运行了好几次。考虑到它的广泛分布和普遍使用，它可以被认为是 VTK对医学研究和病人护理产生了比任何其他开放源码更大的影响 可视化包。 这项建议是对我们一直收到的VTK医疗中心的众多要求的回应 社区。目标如下： 1.目标1：自适应可视化框架：生成一个支持 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的台式机)。 2.目标2：集成的交互式应用程序：扩展VTK以支持多样化的编程 从C到JavaScript再到Python的范例和相关工具，如Jupyter笔记本， 与深度学习技术等新兴技术融合。 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 可实现高帧速率且延迟最小的库，适用于将 低成本的便携设备，如电话、超声波换能器和其他生物传感器，用于 直观地监控、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社区和计划中的 外部咨询委员会在创建和评估期间提出的工作和相应的 以视频和基于网络的交互式内容形式的现代数字文档。

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.