Research On Visualization Of The Regular Three-Dimensional Medical Volume Data

This paper mainly studies the segmentation algorithm of Level Set and 3D reconstruction method for medical volume data through the analysis of lots of documents, which from the perspective of scientific visualization. The main work and the innovative achievements include:1. Discussing the related concepts of the regular data sets, the visualization of medical data segmentation and 3D reconstruction technology, analysis of the current developments at home and abroad.2. Considering the Level Set segmentation, a image segmentation algorithm combined the Fast-marching with the Narrow-band is developed, extract the organs accurately from the regular medical images. As a foundation of the next 3D reconstruction; Meanwhile, according to the district interested in the character and the environment in which its reasonable selection of seeds, which can solve the bottlenecks of seed selection.3. According to the regular medical data, use the segmentation method proposed in this paper, a improved Marching Cubes methods based on segmentation and Ray Casting Volume Rending methods based on the color-filled are proposed. The experiments show that it can be better than the traditional method of reconstruction.4. Research the VTK (Visualization Toolkit) and ITK (insight segmentation and registration Toolkit) which widely used at home and abroad, then achieve our segmentation algorithm and the 3D reconstruction methods with VC + +2005, given the key code.5. Using the regular medical volume data and the Windows platform, a simple medical visualization system is developed. The system achieved the functions of 3D visualization, 2D segmentation, virtual slices human-computer interaction and etc. It has some value of Follow-up research.