| 英文摘要 | The invention of spiral CT has revolutionized the radiology, and it greatly improved the CT image quality and the diagnostic accuracy and effectiveness. In this thesis, we have researched and developed "Spiral CT Image Analyzing and Processing System", its critical algorithm and implementation technique, and improved the image edge detection algorithm. The thesis is organized as following: In the first chapter, we start with a brief description of the principle of the CT, which covers the projection measurement, Fourier slice theorem, and imaging geometries, then we focus on the data acquiring and processing of the spiral CT, its performance and features, and clinical advantages. It aims to provide some relevant background knowledge. In the second chapter, we discuss intensively the architecture of the "Spiral CT Image Analyzing and Processing System", and give each module's flow chart, function structure and implementation solution. In the third chapter, we first introduce the Multiresolution Sequential Edge Linking (MSEL) , a algorithm for the edge detection, and point out the deficiency of the initial value chosen. Then, we give our improved algorithm, and relevant experiment results and explanation are also proposed. In the fourth chapter, we describe the physical background of the volume rendering, some algorithms, their performance analysis, and acceleration technique. Also we make some expectation of the future of the volume rendering. In the fifth chapter, we summarize the thesis. The work of this thesis is supported by the National Natural Science Foundation (No. 69843001) and 863 High Tech Plan (No863-306-ZD-11-3.). |
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