Research and Realization of Medical Volume Data Interactive Cutting

Abstract

Medical image visualization is an important field of scientific computing visualization. Three-dimensional segmentation plays a very important role in three-dimensional reconstruction of human tissues and region of interest. In order to observe the information of human internal tissues better and provide reliable basis for clinical diagnosis, pathological analysis and treatment, it is indispensable to do cutting on volume data. Virtual cutting is usually carried out with the user's interactive operations after three-dimensional reconstruction. This paper does research on the algorithms of cutting volume data, and proposes a series of solutions including plane cutting, bounding box cutting, ball cutting and contour surface cutting. Experiment results indicate that the algorithms are practical and efficient, which can reach favorable virtual cutting effect. By this meaning, doctors can know the internal information of volume data more clearly. Meanwhile, the amount of computation reduced.