Lung boundary detection method based on binary morphology theory.
- Author:
Lu LI
1
;
Yixin MA
;
Huawei WU
Author Information
1. Department of Instrument Science and Engineering, School of Electronics, Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Humans;
Image Processing, Computer-Assisted;
Lung;
diagnostic imaging;
Pattern Recognition, Automated;
methods;
Tomography, X-Ray Computed;
methods
- From:
Chinese Journal of Medical Instrumentation
2010;34(6):413-417
- CountryChina
- Language:Chinese
-
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.
