Automatic airway wall segmentation and thickness measurement for long-range optical coherence tomography images
Automatic airway wall segmentation and thickness measurement for long-range optical coherence tomography images
复制标题
远程光学相干断层扫描图像的自动气道壁分割和厚度测量
DOI：
10.1364/oe.23.033992
复制
发表时间：
2015-12-28
期刊：
影响因子：
3.8
通讯作者：
Chen, Zhongping
中科院分区：
文献类型：
--
作者：
Qi, Li;Huang, Shenghai;Chen, Zhongping
我们提出一种自动分割方法，用于在内窥镜气道光学相干断层扫描（OCT）图像中对多层进行描绘和定量厚度测量。使用基于图论的动态规划算法精确提取黏膜层和黏膜下层的边界。该算法用绵羊气道OCT图像进行了测试。针对烟雾吸入损伤实验自动获取了黏膜层的定量厚度。（C）2015美国光学学会
We present an automatic segmentation method for the delineation and quantitative thickness measurement of multiple layers in endoscopic airway optical coherence tomography (OCT) images. The boundaries of the mucosa and the sub-mucosa layers are accurately extracted using a graph-theory-based dynamic programming algorithm. The algorithm was tested with sheep airway OCT images. Quantitative thicknesses of the mucosal layers are obtained automatically for smoke inhalation injury experiments. (C) 2015 Optical Society of America