北京生物医学工程

基于SMDC连接代价算子的肺血管分割算法研究

Algorithm of Lung Vessel Segmentation Based on SMDC-Connection Cost

作者：黄煜峰王兴家赖凯童同李传富冯焕清

单位：中国科学技术大学电子科学与技术系(合肥230027)

分类号：

出版年·卷·期（页码）：2010·29·3（235-240）

摘要：

针对CT肺图像中的血管分割，提出一种基于SMDC连接代价算子的分割方法。首先设计一种背景填充技术，对灰度变换范围有选择性地收缩或拉伸，有效地消除背景噪声对血管分割的影响，然后应用SMDC连接代价算子对肺部区域进行分割，最后用实验证明了该方法的有效性。相似度分析表明自动与手工分割结果吻合率高于95%，并能较好地保留细节。

In order to solve the difficulty of lung blood vessel’s extraction, we propose a new segmentation method based on selective marking and depth constrained (SMDC)-connection cost. First, a new method of painting background based on intensity nonlinear mapping is brought forward for getting rid of the influences of background. Then, SMDC-connection is applied to segment the lung blood vessel. Finally, comparative experiments show the efficacies of this method. Then a case with normal slices is used to analyze the similarity between the results from computerized segmentation and handwork, and a superposition proportion above 95% is achieved and the details are well presented.

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