Automatic Segmentation Technique Without User Modification for 3D Visualization in Medical Images

It is necessary to analyze an image from CT or MR and then to segment an image of a certain organ from that of other tissues for 3D (Three-Dimensional) visualization. There are many ways for segmentation, but they have a somewhat ineffective problem because they are combined with manual treatment. In this study, we developed a new segmenting method using a region-growing technique and a deformable modeling technique with control points for more effective segmentation. As a result, we try to extract the image of liver and identify the improved performance by applying the algorithm suggested in this study to two-dimensional CT image of the stomach that has a wide gap between slices.