title: [Lung boundary detection method based on binary morphology theory].
abstract: A method is presented in this paper which processes the human chest CT image with binary morphology theory, then marks and searches each connected domain to find chest contour and boundaries of lung and esophagus. Comparing with original CT image, the extracted boundaries have sufficient accuracy and human eyes cannot distinguish the error.
authors.affiliation: Department of Instrument Science and Engineering, School of Electronics, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240.
authors.forename: Lu
authors.initials: L
authors.lastname: Li
authors.forename: Yixin
authors.initials: Y
authors.lastname: Ma
authors.forename: Huawei
authors.initials: H
authors.lastname: Wu
mesh_terms: D000465:Algorithms; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008168:Lung / Q000000981:diagnostic imaging*; D010363:Pattern Recognition, Automated / Q000379:methods*; D014057:Tomography, X-Ray Computed / Q000379:methods*