为满足影像引导手术(IGS)中高分辨率、海量数据的实时渲染,提出一种基于GPU的虚拟内窥镜场景实时绘制算法.该算法针对虚拟内窥镜渲染数据的特点(管腔数据占总数据比例小,5％左右),首先对图像进行自动分割,得到管腔组织的分割数据；仅将分割后的数据一次载入图像显存,利用光线投射算法进行渲染,并在多GPU负载方面做了优化.充分利用GPU渲染和并行计算的能力,实现了海量数据(1024×1024×1024)的实时渲染.
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