图学学报
• 图像处理与模式识别 • 上一篇 下一篇
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摘要: 三维医学图像数据量大,并且受噪声、边界模糊等原因的影响,致使三维分割过程消耗时间较长,容易产生欠分割或过度分割。针对以上问题,提出一种基于Level Set的三维快速分割算法,采用Fast Marching获取二维分割区域,优化轮廓边界,利用直线数值微分算法(Digital Differential Analyzer,DDA)提取轮廓像素;进一步引入扫描线种子填充思想,实现医学图像的三维快速分割。实验结果表明,上述算法能够快速准确地分割出感兴趣区域。
关键词: 计算机应用, 医学图像三维分割, Level Set算法, 数值微分算法, 扫描线种子填充
Abstract: Because of the large volume of medical image data, the impact of noise, blurred boundaries and other reasons, the three-dimensional segmentation process is time-consuming, and easily produces less or over segmentation. To solve the above problems, this paper proposes a three-dimensional fast segmentation algorithm based on Level Set, using Level Set Fast Marching Method to obtain two-dimensional segmental region, optimizing the boundary contour, using the Digital Differential Analyzer method to extract contour pixels, finally introducing the idea of the Scan Line Seed-filling to achieve the three-dimensional fast segmentation. The actual clinical CT images of vertebral segmentation experiment result shows that this method can quickly and accurately separate out the interested area.
Key words: computer application, three-dimensional medical image segmentation, Level Set method, DDA, scan line seed-filling
孙海鹏, 余伟巍, 席 平. 基于Level Set的交互式快速分割算法[J]. 图学学报.
SUN Hai-peng, YU Wei-wei, XI Ping. The Three-Dimensional Fast Segmentation Algorithm Based on Level Set Method[J]. Journal of Graphics.
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http://www.txxb.com.cn/CN/Y2011/V32/I3/45