A novel surface rendering algorithm for 3D reconstruction of medical images

This paper implements a novel surface rendering algorithm for three-dimensional reconstruction of medical images. Traditional Marching Cubes (MC) algorithm shows limits for isosurface extraction by using surface configurations of a cube, because it costs much time to detect null cube when abstracting an isosurface. This has an important effect on the reconstruction speed. To overcome the problem, an improved MC algorithm based on image segmentation is proposed. It uses segmented images as input, aiming at reducing the time of detecting null cube and finding out those cubes crossed by the isosurface as soon as possible. Extensive experiments show that the efficiency of three-dimensional reconstruction can be improved a lot by using the novel algorithm.