Study And Application On 3D Medical Image Surface Reconstruction

With the development of computer image processing technology, 3D reconstruction of medical image is possible, and being a new research hotspot gradually. 3D reconstruction from medical images is a multi-disciplinary subject. It is an important application of computer graphics and image processing in biomedicine engineering. It relates to the subjects of digital image processing, computer graphics and some related knowledge of medical. 3D reconstruction and visualization of medical images are widely used in diagnostic, surgery planning and simulating, plastic and artificial limb surgery, radiotherapy planning, and teaching in anatomy. Study on 3D reconstruction from medical images has important significance on science and worthiness in practical application.This paper introduces two methods of 3D medical image surface rendering and the principle, and gives a detailed study on the Marching Cubes algorithm which is a classical algorithm to extract iso-surface from regular volume data. Marching Cubes algorithm has disadvantages of low reconstructing speed and data redundancy. An algorithm is presented to improve this algorithm performance. It modified the standard Marching Cube algorithm by two ways. The first modification is that the status of a sample point on the iso-surface depends on the number of edges intersected by the iso-surface. The second modification is that polygon vertices between two adjacent sample points arelocated at the middle point, which leads to co-planar triangles being merged into a polygon. The third modification is that the generated triangles are substituted by polygons. Thus reduces the number of polygons generated and increases the efficiency of the Marching Cube algorithm. The experiment results show that this algorithm accelerates the speed of Marching Cubes algorithm and the difference of the display performance is little.