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3D Visualization for Tele-medical Diagnosis

机译:远程医疗诊断的3D可视化

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It is widely accepted that 3D visualization of medical images helps in patient diagnosis. To visualize 3D images requires large computation loads. Therefore fast 3D visualization requires an expensive volume rendering board. Some web-based streaming techniques were suggested to construct high quality 3D visualizations even though only using a personal computer without a volume rendering board. These techniques could share the volume rendering board and diagnose 3D images together. To make a web-based 3D visualization system, the issues of time delay depending on limited network bandwidths need to be resolved. This delay directly influences the image quality. Through this study, we evaluated optimized streaming conditions to visualize and control the 3D medical image which has a high quality on the web. To construct this system, we primarily used three tools which included a VolumePro1000 board, WMV9 (Windows Media Video 9 codec) and TCP-IP based socket functions. The VolumePro1000 board could calculate quickly heavy matrixes of 3D images using Phong's shading and shear-warp factorization. WMV9 was able to efficiently compress live images and to apply image streaming techniques. TCP-IP based socket functions transmitted messages to control the 3D images. We developed a 3D visualization system and tested image qualities and transmission conditions of different compression rates for variable network conditions. It was very advantageous that the WMV9 encoding could be decoded automatically in many platforms (desktop, PDA, notebook, as long as the platform had Windows Media Player. We expect the 3D visualization system to be utilized in various biomedical fields such as nGS (Interactive Image Guided Surgery), CAD (Computer Aided Diagnosis) and Tele-medicine technologies.
机译:医学图像的3D可视化有助于患者诊断已被广泛接受。可视化3D图像需要大量计算量。因此,快速的3D可视化需要昂贵的体积渲染板。即使仅使用没有体积渲染板的个人计算机,也提出了一些基于Web的流技术来构建高质量的3D可视化。这些技术可以共享体积渲染板并一起诊断3D图像。要制作基于Web的3D可视化系统,需要解决取决于有限网络带宽的时间延迟问题。该延迟直接影响图像质量。通过这项研究,我们评估了优化的流条件,以可视化和控制网络上具有高质量的3D医学图像。为了构建该系统,我们主要使用了三个工具,其中包括VolumePro1000板,WMV9(Windows Media Video 9编解码器)和基于TCP-IP的套接字功能。使用Phong的阴影和剪切变形分解,VolumePro1000板可以快速计算3D图像的重矩阵。 WMV9能够有效地压缩实时图像并应用图像流技术。基于TCP-IP的套接字功能传输消息以控制3D图像。我们开发了3D可视化系统,并针对可变网络条件测试了图像质量和不同压缩率的传输条件。只要平台具有Windows Media Player,就可以在许多平台(台式机,PDA,笔记本电脑)中自动解码WMV9编码,这是非常有利的。我们希望3D可视化系统可用于各种生物医学领域,例如nGS(交互式)图像引导手术),CAD(计算机辅助诊断)和远程医疗技术。

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