医学图像三维重建系统的数据结构表达及表面模型的构建

医学图像三维重建在诊断、放射治疗规划及医学研究中均有着重要应用，本文论述了医学图像三维重建系统程序流程，设计了自动及手工轮廓勾画两种分割方法，并提出了建立了合理的系统数据结构。该数据结构能较好地描述系统数据的层次关系和表达重建的几何模型。对由自动分割和手工勾画出的组织，用MT算法构建其三维表面几何模型 。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网格简化处理。模型网格经简化90％，依然能较好地保持模型的特征，大大加快了绘制速度。

Data Structure Representation of 3D Reconstruction System of Medical Images and Surface Model Construction

D reconstruction from medical images is widely used in diagnose, radiotherapy surgery programming and medical research. This paper deals with the framework and key techniques of 3D reconstruction system of medical images. Methods of automatic and manual segmentation of medical images are designed. Data sturcture of the system is proposed. The system data are encapsulated in object oriented paradigm and the hierarchical structure of classes is presented for reconstructing 3D geometry models. The 3D surface geometry model is constructed by using MT algorithm from the tissues extracted by automatic or manual segmentation. An edge collapse algorithm of mesh simplification is proposed and implemented, and the surface model constructed by MT algorithm is simplified by using this algorithm, After reduction of 90 percent triangles, the simplified model still maintains the origninal feature. It can speed up surface rendering of the models.