Auto-segmentation method for lung parenchyma of CT images
10.3321/j.issn:1003-3289.2009.07.049
- VernacularTitle:CT图像中肺实质的自动分割
- Author:
Xiaomin PEI
;
Hongyu GUO
;
Jianping DAI
- Publication Type:Journal Article
- Keywords:
Computer-aided diagnosis;
Lung parenchyma;
Automatic segmentation;
Lung nodule
- From:
Chinese Journal of Medical Imaging Technology
2009;25(7):1293-1295
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish a new automatic lung segmentation method in order to deal with the omission of pleural nodules and pulmonary vessels. Methods Lung parenchyma were extracted from chest CT images with the inversed operation of 2D region growing and connected area classification, then the contours and locating the contour points were traced with scan line searching. Finally, the parameters of lung contour points were analyzed to locate the contours distorted by nodules, and curve spline was used to correct distorted contours. Results The experimental results of many sets of CT images verified that the technique proposed was effective. The comparison with other contour correction algorithm verified that line searching contour correction was superior. Conclusion The proposed algorithm includes tumors in the segment results, and confirms the integrality, veracity, real-time quality of this auto-segmentation method.
