超大规模医学图像并行虚拟可视化的仿真研究

Parallel Virtual Reality Visualization of Extreme Large Medical Datasets

在网格计算基础上,研究利用医院内部局域网和普通配置计算机,实现超大规模医学图像并行可视化的关键技术,包括系统硬件构成、软件框架、负载平衡以及虚拟现实可视化等问题。在普通计算机群上,编程实现大规模医学图像的最大密度投影重建算法,并在虚拟现实构造语言(virtual reality modeling language,VRML)基础上,设计人机交互控制面板,实现虚拟可视化操作。仿真结果表明,该方法较好地解决了运算速度和内存空间这两大难题,效果良好,实时性强,对医生诊断治疗具有很好的辅助作用。

On the basis of a brief description of grid computing,the essence and critical techniques of parallel visualization of extreme large medical datasets are discussed in connection with Intranet and common-configuration computers of hospitals.In this paper are introduced several kernel techniques,including the hardware structure,software framework,load balance and virtual reality visualization.The Maximum Intensity Projection algorithm is realized in parallel using common PC cluster.In virtual reality world,three-dimensional models can be rotated,zoomed,translated and cut interactively and conveniently through the control panel built on virtual reality modeling language（VRML）.Experimental results demonstrate that this method provides promising and real-time results for playing the role in of a good assistant in making clinical diagnosis.