Stredney D, Agrawal A, Barber D, Crawfis R, Feng W C, Hou J, Panda D K, Sadayappan P, Powell K, Schmalbrock P, Sessanna D, Wiet G J, Shareef N, Bryan J
Ohio Supercomputer Center (OSC), Columbus, USA.
Stud Health Technol Inform. 2000;70:327-33.
Medical data in image format continues to increase in both size and complexity. We have integrated advanced techniques in visualization, networked computing, and interface design to improve methods for accessing medical data comprising high-resolution images for reconstructions into three-dimensional volumetric representations. We present two approaches to handle the range of low to high-end client platforms, support visualization functionality, and provide the ability to manipulate very large data over heterogeneous computing and networking environments. We present examples of its use for clinical, research, and educational purposes and discuss future extensions.
图像格式的医学数据在规模和复杂性方面都在持续增长。我们整合了可视化、网络计算和界面设计方面的先进技术,以改进访问包含高分辨率图像的医学数据的方法,这些图像可重建为三维体积表示。我们提出了两种方法来处理从低端到高端的各种客户端平台,支持可视化功能,并提供在异构计算和网络环境中处理超大数据的能力。我们展示了其用于临床、研究和教育目的的示例,并讨论了未来的扩展。