【摘要】 针对传统医学影像可视化软件难以实现跨平台访问,以及有限的影像数据的存储和体绘制能力,且缺少协同可视化共享的机制,本文提出一个基于云平台的医学影像可视化平台.利用云平台超大的存储容量以及强大的图形图像处理能力,在云端进行医学图像的编解码、分割及高级体绘制,然后本文提出支持协同可视化的自适应医学元数据和图像数据传输协议,通过浏览器和云端的实时交互以及浏览器和浏览器的对等传输,实现了影像的各种二维和三维协同可视化交互功能.实验结果表明,我们的平台不仅能以协同方式支持大容量数据的二维实时浏览和伪彩映射,而且支持三维的高级分割和体绘制操作,并且有较好的实时交互性.更多还原

【Abstract】 Traditional medical image visualization software is difficult to run in cross-platform without any coordination mechanism, while the capacity of storage and the volume rendering are limited. We propose a cloud-based medical image visualization platform. To use the large storage and the powerful graphics computing capabilities in the cloud, it can codec medical image and implement segmentation and visualize volume. Then we propose an adaptive medical meta-data and image data transmission protocol, which also supports collaborative visualization. Through real-time interaction between cloud and browsers and peer transmission betweenbrowsers and browsers, we achieve a variety of two-dimensional and three-dimensional visualization of images and collaborative interaction features. Experimental results show that our platform not only support browsing large amounts of two-dimensional data and pseudo-color mapping in real time, but also support advanced segmentation and three-dimensional visualization with coordination mechanism, and has better real-time interactivity.更多还原