Vogt Sebastian, Khamene Ali, Niemann Heinrich, Sauer Frank
Imaging & Visualization Dept., Siemens Corporate Research, Princeton, NJ, USA.
Stud Health Technol Inform. 2004;98:397-403.
We report on a stereoscopic video-see-through augmented reality system which we developed for medical applications. Our system allows interactive in-situ visualization of 3D medical imaging data. For high-quality rendering of the augmented scene we utilize the capabilities of the latest graphics card generations. Fast high-precision MPR generation ("multiplanar reconstruction") and volume rendering is realized with OpenGL 3D textures. We provide a tracked hand-held tool to interact with the medical imaging data in its actual location. This tool is represented as a virtual tool in the space of the medical data. The user can assign different functionality to it: select arbitrary MPR cross-sections, guide a local volume rendered cube through the medical data, change the transfer function, etc. Tracking works in conjunction with retroreflective markers, which frame the workspace for head tracking respectively are attached to instruments for tool tracking. We use a single head-mounted tracking camera, which is rigidly fixed to the stereo pair of cameras that provide the live video view of the real scene. The user's spatial perception is based on stereo depth cues as well as on the kinetic depth cues that he receives with the viewpoint variations and the interactive data visualization. The AR system has a compelling real-time performance with 30 stereo-frames/second and exhibits no time lag between the video images and the augmenting graphics. Thus, the physician can interactively explore the medical imaging information in-situ.
我们报告了一种为医学应用而开发的立体视频透视增强现实系统。我们的系统允许对3D医学成像数据进行交互式原位可视化。为了高质量渲染增强场景,我们利用了最新一代图形卡的功能。通过OpenGL 3D纹理实现了快速高精度的多平面重建(“MPR”)和体绘制。我们提供了一种跟踪手持式工具,以便在医学成像数据的实际位置与之交互。该工具在医学数据空间中表示为虚拟工具。用户可以为其分配不同功能:选择任意MPR横截面、引导局部体绘制立方体穿过医学数据、更改传递函数等。跟踪与回射标记协同工作,回射标记分别为头部跟踪划定工作空间或附着在仪器上用于工具跟踪。我们使用一个头戴式跟踪摄像头,它被牢固地固定在提供真实场景实时视频视图的立体摄像机对上。用户的空间感知基于立体深度线索以及他通过视点变化和交互式数据可视化获得的动态深度线索。该增强现实系统具有令人信服的实时性能,每秒30个立体帧,并且在视频图像和增强图形之间不存在时间延迟。因此,医生可以在原位交互式地探索医学成像信息。