Visualization in Scientific Computing is the most active field in Computer Science. It is a method that researches on how to translate scientific data such as 3D medical image data, into knowledge understood by scientists. The chief technique of visualization in medical image is to reconstruct their 3- Dimensional models or display their 2D image. Because 3D medical image model reconstruction deals with a great number of data and complex 3D geometric configurations, it is still a bottleneck of medical image visualization. This thesis describes our 3D Medical Image Processing and Analyzing System (3DMED), and narrates the research on Virtual Endoscopy based on 3DMED. Because the first step of Virtual Endoscopy is surface reconstruction, I summarize the algorithms of surface reconstruction and improve an algorithm named Marching Cube, and solve some main problems of Marching Cube in Virtual Endoscopy. The arrangement of the thesis is followed. The first chapter introduces our 3D Medical Image Processing and Analyzing System and some research on Virtual Endoscopy on the basis of 3DMED. The author analyzes major problems in surface reconstruction of Virtual Endoscopy. The second chapter introduces some common algorithms of 3D surface reconstruction, and the main content is classical Marching Cube algorithm. The third chapter describes an improved algorithm-Polygon Generation based on Marching Cube, and gives some experimental results. The fourth chapter discusses my work in 3DMED. 1 implement the Cuberille algorithm by OpenGL and use some methods to reduce displaying faces. The National Natural Science Foundation (No. 69843001) and 863 High Tech Plan (No.863-306-ZD-11-3) support the work of this thesis.
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