Research on Algorithm for Automated Lung Segmentation in CT Images
- VernacularTitle:从CT图像中自动分割出肺部区域的算法研究
- Author:
Longhai WU
;
Heqin ZHOU
;
Lu ZHANG
- Publication Type:Journal Article
- Keywords:
image segmentation;
boundary tracking;
lung region;
CT imaging
- From:Space Medicine & Medical Engineering
2006;0(05):-
- CountryChina
- Language:Chinese
-
Abstract:
Objective To design an automatic segmentation algorithm for lung region abstraction from CT images in computer-aided diagnosis(CAD) of lung diseases. Methods Based on the optimal threshold segmentation, an automatic region-growing method was adopted to eliminate the trachea and bronchi, the boundary tracking algorithm was modified for background elimination and lung boundary abstraction. Then, lung boundary repair was performed to obtain a fine boundary. To reduce the sensitivity of threshold selection, an iterative process was employed to find the optimal threshold. A trachea/bronchus extraction method based on position of trachea/bronchus in previous slice was introduced, which avoided selecting seed-point by handle in region-growing. Based on previous searching direction, 8-neighborhood searching method was improved to increase its efficiency. Results Experiments with four chest CT data sets showed that this algorithm was able to abstract the lung region automatically, quickly and with better precision. Conclusion The proposed algorithm is quite efficient for automated lung segmentation in the computed-aided diagnosis of lung diseases.
