Segmentation of Pulmonary nodule in CT Image Based on level Set Method

摘要：

As pulmonary nodule scatters everywhere in the initial period of lung diseases and the edges of the pulmonary nodule is irregular, which requires us to seek the pulmonary nodule in the whole lung image and recognize it accurately. The global segmentation is just the advantage of level set method based on Mumford-Shah model, but nobody home and abroad applies it to recognizing the pulmonary nodule. Therefore, this paper first introduces the model in recognizing the pulmonary nodule. It proves that it is feasible to use level set method based on Mumford-Shah model to recognize the pulmonary nodule.

关键词： Image Segmentation Pulmonary Nodule Level Set Mumford-Shah Model

作者: Xin-Jiang Shengdong-Nie

作者单位: College of Medical Instrumentation & Foodstuff, University of Shanghai for Science and Technology, Shanghai (200093), 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: 2339-2342

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）