3D 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 structure 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 original feature. It can speed up surface rendering of the models.
Algorithms ; Humans ; Image Processing, Computer-Assisted ; Imaging, Three-Dimensional