Pulmonary Parenchyma Segmentation in CT Image Based on Improved Fast Marching Method

摘要：

A computerized scheme used for pulmonary parenchyma segmentation in CT images is developed based on improved Fast Marching and mathematical morphology methods. Firstly, apply the mathematical morphology to remove the noise and extract the gradient feature. And then, an improved Fast Marching method, in which speed function is confined by a threshold parameter, is used to segment pulmonary parenchyma in CT images. Experiment results showed that this method can segment pulmonary parenchyma correctly.

关键词： Fast marching Mathematical morphology Pulmonary parenchyma segmentation

作者: Fengjie Yao Xiwen Sun Shengdong Nie Zhaoxue Chen

作者单位: Optical & Electronic Information Engineering College Shanghai, China College of Medical Instrumentat Shanghai Pulmonary Hospital Shanghai, China College of Medical Instrumentation & Foodstuff Shanghai, China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2552-2554

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）