电子学报2018，Vol.46Issue(6)：1319-1326,8.DOI:10.3969/j.issn.0372-2112.2018.06.007
一种全自动的肺裂分割方法
Automatic Segmentation of Pulmonary Fissures in CT Chest Images
摘要
Abstract
Automatic segmentation of pulmonary fissures is a nontrivial task in CT(Computer Tomography) chest images,due to incomplete,disrupted,deformed and accessory fissures. In this paper,we present a approach to fuse pulmonary structure characteristics for fissure segmentation. Firstly,we fuse the prior knowledge of trachea and pulmonary arteries to i-dentify fissure region of interest. Then fissures directional field is exploited to enhance fissures and a multi-plane filter is pro-posed to remove noise for fissure pre-segmentation. Finally fissure region of interest and fissure pre-segmentation are com-bined for fissure segmentation. Compared with manual fissure references,our method obtained a high segmentation accuracy with median F1-score of 0.881 and 0.878 for the left and right lung images respectively.关键词
自动分割肺裂/肺裂感兴趣区域/肺裂预分割/多剖面滤波器Key words
automatic segmentation of pulmonary fissures/fissure region of interest/fissure pre-segmentation/multi-plane filter分类
信息技术与安全科学引用本文复制引用
彭圆圆,肖昌炎..一种全自动的肺裂分割方法[J].电子学报,2018,46(6):1319-1326,8.基金项目
国家自然科学基金(No.61172160,No.61571184) （No.61172160,No.61571184）
