医学图象处理及其三维重建是目前研究的热点问题，它涉及计算机图形学、数字图像处理计算机视觉、以及人机交互技术。

医学图像预处理与三维重建是可视化技术的核心环节，二者直接关系着三维可视化的效果和速度。本文介绍了灰度变换噪声消除以及

伪彩色编码等图像预处理技术。然后着重探讨了三维重建技术中的体绘制和面绘制算法以及这两种算法的优点和不足。最后总结了网格消减算法，并利用它对MC算法进行表面网格简化。

-Medical processing and 3D reconstruction is a hot spot field, which consists of applying computer graphic theory, image

processing technique, computer vision theory and human-computer interacting technique. Pretreatment and 3D reconstruction of medical images are two vital steps in the whole visualization, effecting directly the result and speed of visualization. In this thesis, Firstly, it offers a detailed introduction about the pretreatment technique, including grey-scale transformation and noise elimination and pseudo color coding. Then aiming at the 3D reconstruction, the surface rendering algorithms and volume rendering algorithms are detail discussed. At last triangle collapse is summarized and used to simplification of medical image 3D model which is reconstructed by MC algorithms.