Medical image processing and analyzing has been developed rapidly in recent years. It can assist doctors to diagnose and analyze all kinds of tissues of interest qualitatively and quantitatively, and display them effectively with 3D style, which can largely improve the accuracy of diagnosis. Moreover, it can play important role in the field of operation planning and simulation, medical education and medical research. In this thesis, some novel ideas and methods on medical image segmentation and volume rendering have been presented, which mainly include as follow: 1. According the features of medical image, we improved an image segmentation method based on dynamic programming. First, we append a training mechanism to enhance the robustness of our approach to local noise. Second, we integrate the region-based segmentation with DP to improve the accuracy of image segmentation. 2. We modified the concept of fuzzy connectedness, and defined a new image fuzzy field, which can not only make the aimed object having high fuzzy degree of cormectedness with start point, but also can represent locally the degree that pixels belong to the aimed object. We presented a segmentation method of tumors in human brain MR image based on fuzzy connectedness, and made some experiments. 3. We presented a new method of 3D Euclidean distance transform, which can get the true Euclidean distance, and time complexity of the method reach O (n31ogn). We applied the method to render the soft tissue in 3D medical CT image. 4. We presented a multi-surface rendering method based on volume rendering technique for 3D data sets, which can represent the whole data sets better. The method can not only make the rendering fast, but also can improve the image quality. 5. We developed a 3D medical image processing and analyzing system based on PC Windows 95/Windows NT environment, which has powerful functions such as image preprocessing, reslice, surface rendering, volume rendering, manipulation. Our research work was sponsored by National Natural Science Fund and National 863 High-tech Fund. And the 3D medical image processing and analyzing system 3Dmed awarded Asian 10 CT scientific and technological Advances in 1998.
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