Accelerating Community-Driven Medical Innovation with VTK

摘要 世界各地成千上万的医学研究人员使用VTK -可视化工具包-一个开源， 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 和数据分析算法。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 用于临床应用的3D可视化，例如BrainLAB的VectorVision手术引导系统， Zimmer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，考虑到它的广泛分布和普遍使用，可以说 VTK对医学研究和病人护理的影响比任何其他开源软件都要大。 可视化包。 这项建议是为了回应我们一直收到的VTK医疗的大量要求， 社区其目标如下： 1.目标1：自适应可视化框架：生成一个集成框架， 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， 分析需求，以及用户平台（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以支持多种编程 从C++到JavaScript再到Python的范例以及相关的工具，如Java笔记本， 结合新兴技术，如深度学习技术。 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 这些库以最小的延迟实现高帧速率，适用于联合收割机 低成本的便携式设备，如电话、超声换能器和其他生物特征传感器， 可视化监控、指导和提供先进的医疗保健服务。 4.目标4：基础设施、推广和验证：吸引VTK社区和拟议的 外部咨询委员会在创建和评估拟议的工作和相应的 以视频和交互式网络内容形式提供的现代数字文件。

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.