Automatic Segmentation and Quantitative Diagnosis of Pulmonary Parenchyma in Thoracic CT

摘要：

An adaptive threshold segmenting and contour tracing method was applied to extract the pulmonary parenchyma automatically from thoracic CT images. The density distribution of high resolution CT was used to determine the region and severity of emphysema. Experimental results showed that the novel method can be adopted to segment the pulmonary parenchyma automatically and the accurate and effective results were presented as expected This method can also be applied on analyzing the pathological change regions, performing quantitative analysis and helping on diagnosis of emphysema.

关键词： high resolution CT pulmonary parenchyma automatic segmentation quantitative diagnosis

作者: Shengwen Guo Xiaoming Wu

作者单位: Department of Biomedical Engineering, South China University of Technology, Guangzhou 510640

会议类型: 国际会议

会议名称: The 1st International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2007)(首届IEEE生物信息与生物医学工程国际会议)

会议地点: 武汉

会议语种:英文

页码: 680-682

在线出版日期: 2007-07-06（万方平台首次上网日期，不代表论文的发表时间）