摘要
阐述了医学图像三维重建的方法和过程,提出了一种基于跨距空间的快速种子体素搜索算法,利用等值面繁衍算法快速提取三角形等值面,并对由中点近似产生的共面三角形等值面进行合并。实验结果显示,本文提出的算法加快了重建的速度,有利于实现对基于医学图像的大规模数据三维重建的实时绘制和交互。
In this paper, we introduce the method and process of medical images＇3d reconstruction, and present a fast seed cell search ＂algorithms based on span space, then, we use the isosurface propagation algorithms to extract the isosurface. We also merge the copla- nar triangles after the process of midpoint approximating. As the experimental result proving, the algorithm that we present accelerates the reconstruction, lt＇s favorable to realize the real time rendering and interaction of large scale data 3d reconstruction based on medical images.
出处
《微计算机应用》
2007年第8期881-884,共4页
Microcomputer Applications
基金
国家自然科学基金资助项目(60542003)
