关键词: 肺部图像, Live-Wire算法, 阈值法, Snake模型

Abstract: Lung segmentation is an indispensable step in pulmonary nodules computer-aided detection based CT images. Aimed at decreasing the Snake dependence on initial contour points, improving the accuracy of segmenting the depth sag area and resistance of noise, this paper proposes an interactive lung parenchyma segmentation algorithm, which uses improved Live-Wire algorithm to define Snake initial contour. It modifies the traditional Live-Wire algorithm by combining it with the threshold algorithm. After the pre-segmentation, the edge is obtained. Then taking the edge as the initial contour, Snake model can get lung parenchyma by evolution. Experimental results show that the method can extract the lung parenchyma effectively and quickly. Compared with traditional method, this method can reduce the number of human-computer interactions and can well resist noise, which is more robust and efficient.

Key words: lung image, Live-Wire algorithm, threshold algorithm, Snake model