Three-Dimensional Reconstruction of Medical Image Based on Improved Marching Cubes Algorithm

An approach is proposed for medical three-dimensional reconstruction in view of the characteristics of modern medical image in this paper. The approach based on the traditional Marching Cubes algorithm combines with seed-occupying algorithm to expand isosurface for avoiding the detection of empty cubes and replaces cell edge interpolation by midpoint selection with DMC method. Finally, the isosurface is generated directly by polygons which are ordered by isopoints. Because the approach uses polygons instead of triangles without resorting to the pre-defined cases, it reduces the number of faces greatly and gives a good solution to the ambiguity problem. The experiment results show that the proposed approach makes a significant improvement in several aspects, including topological structure, storage space and processing speed than the traditional method. Therefore, it is propitious to real-time and interactive operation with computer by less hardware cost.