DocumentCode :
2175684
Title :
A Novel Lung Segmentation and Boundary Correction Method
Author :
Pei xiaomin Guo ; Guo Hongyu ; Dai Jianping
Author_Institution :
Sino-Dutch Biomed. & Inf. Eng. Sch., Northeastern Univ., Shenyang, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Segmentation of lung region in chest-computed tomography(CT) is often performed as a preprocessing step in lung imaging. This task is complicated especially in present of disease. In this article, we presented a novel lung segmentation algorithm. We combined region growing and thresholding to do rough segmentation, and used a boundary correction algorithm based on convex hull operation and ray casting to do boundary correction. Its novelty lies in the fact that it corrects the lung border in a geometric way and can reliable include juxtapleural nodules and pulmonary vessels while minimizing oversegmentation of adjacent regions such as the abdomen and mediastinum. Experiments showed that our method effectively incorporates pleural nodules and pulmonary vessels into the segmentation results, the segmentation accuracy has improved.
Keywords :
cancer; computerised tomography; image segmentation; lung; medical image processing; abdomen; boundary correction method; chest-computed tomography; convex hull operation; juxtapleural nodules; lung segmentation; mediastinum; pleural nodules; pulmonary vessels; ray casting; Biomedical engineering; Biomedical imaging; Casting; Computed tomography; Diseases; Educational institutions; Image segmentation; Lungs; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4132-7
Electronic_ISBN :
978-1-4244-4134-1
Type :
conf
DOI :
10.1109/BMEI.2009.5304845
Filename :
5304845
Link To Document :
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