An Automatic Surface Extraction for Volume Visualization

This paper describes a novel automatic 3D surface extraction method for biomedical volume images. In this technique, the region of interesting (ROI) in 2D slice images is selected interactively, 3D ROI edge surface is determined by using Laplace operator based tracking method. According to coplanar principle of the voxel, the edge surface in ROI is then automatically extracted by region growing approach. Finally, the 3D edge surface of high accuracy (sub-voxel) is formed by reconstruction of the edge surface selected in 2D ROI. Experiments on biomedical images show that the new method is successful in interactive selection and automatic extraction of edge surfaces in 3D images.