三维医学图像MT表面重建的相关性处理及模型简化  

RELATIVITY TREATING IN SURFACE RECONSTRUCTION OF 3D MEDICAL IMAGES WITH MT ALGORITHM AND MODEL SIMPLIFICATION

作　　者：秦绪佳[1] 欧宗瑛[1] 纪凤欣[1] 吴良武[1] 张勇[1] 侯建华[1] 

机构地区：[1]大连理工大学机械工程学院CAD&CG研究所,大连116024

出　　处：《中国生物医学工程学报》2001年第5期398-403,共6页Chinese Journal of Biomedical Engineering

基　　金：国家 8 6 3高科技计划项目"动态多叶光栅适形调强放射治疗系统"资金资助 ( 86 3 30 6 ZD13 0 3 6 )

摘　　要：针对MT(MarchingTetrahedral)算法存在重建速度慢 ,数据存储冗余 ,重建出的模型三角面片数量大 ,难以进行实时交互操作等缺点 ,本文提出了相关性处理方法 ,避免了重复性计算 ,加快了重建速度 ;设计了优化存储的数据结构 ,减少了数据冗余 ;实现了网格简化的边收缩算法 ,并对由MT算法生成的表面模型进行了简化处理。模型经简化 90 % ,依然能较好地保持原模型的特征。MT(Marching Tetrahedral) algorithm exists following disadvantages: low reconstructing speed, data redundancy, huge number of triangles in reconstruction model. To improve this algorithm, we present a method to deal with the relativity among tetrahedrons. With this method, repeated calculation is avoided, and surface reconstructing is speeded up. For reducing data redundancy, data structure is designed. The data structure can be used in mesh simplification conveniently. Edge collapse algorithm of mesh simplification is implemented, and the surface model constructed by MT algorithm is simplified by using edge collapse algorithm. After 90 percent triangles reduced, the model still maintains the feature of the original.

关 键 词：三维医学图像 表面重建 MT算法 相关性 模型简化 

分 类 号：R311[医药卫生—基础医学] R319