| Image Series Segmentation and Improved MC Algorithm |
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| 作者姓名： | 万卫兵 施鹏飞 |
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| 作者单位： | Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China |
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| 基金项目： | Acknowledgment Part of the experiment data come from 3DMed which was developed by Institute of Automation of the Chinese Academy of Sciences and the authors would like to express their heartfelt gratirude to their work. |
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| 摘 要： | A semiautomatic segmentation method based on active contour is proposed for computed tomography （CT） image series. First, to get initial contour, one image slice was segmented exactly by C-V method based on Mumford-Shah model. Next, the computer will segment the nearby slice automatically using the snake model one by one. During segmenting of image slices, former slice boundary, as next slice initial contour, may cross over next slice real boundary and never return to right position. To avoid contour skipping over, the distance variance between two slices is evaluated by an threshold, which decides whether to initiate again. Moreover, a new improved marching cubes （MC） algorithm based on 2D images series segmentation boundary is given for 3D image reconstruction. Compared with the standard method, the proposed algorithm reduces detecting time and needs less storing memory. The effectiveness and capabilities of the algorithm were illustrated by ,experimental results.
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| 关 键 词： | 计算方法 图象处理 计算机技术 设计方案 |
| 收稿时间： | 2007-10-10 |
Image series segmentation and improved MC algorithm |
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| Wei-bing Wan,Peng-fei Shi.Image Series Segmentation and Improved MC Algorithm[J].Journal of Shanghai Jiaotong university,2008,13(1):102-106. |
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| Authors: | Wei-bing Wan Peng-fei Shi |
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| Institution: | Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China |
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| Abstract: | A semiautomatic segmentation method based on active contour is proposed for computed tomog-raphy (CT) image series. First, to get initial contour, one image slice was segmented exactly by C-V method based on Mumford-Shah model. Next, the computer will segment the nearby slice automatically using the snake model one by one. During segmenting of image slices, former slice boundary, as next slice initial con-tour, may cross over next slice real boundary and never return to right position. To avoid contour skipping over, the distance variance between two slices is evaluated by an threshold, which decides whether to initiate again. Moreover, a new improved marching cubes (MC) algorithm based on 2D images series segmentation boundary is given for 3D image reconstruction. Compared with the standard method, the proposed algorithm reduces detecting time and needs less storing memory. The effectiveness and capabilities of the algorithm were illustrated by experimental results. |
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| Keywords: | image series active contour image segmentation isosuface marching cubes |
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