DocumentCode
3148849
Title
A new algorithm of automatic lung parenchyma segmentation based on CT images
Author
Liming, Diao ; Caiming, Zhang ; Shanshan, Gao
Author_Institution
Sch. of Comput. Sci. & Technol., Shandong Economic Univ., Ji´´nan, China
fYear
2011
fDate
16-18 April 2011
Firstpage
976
Lastpage
979
Abstract
We present a new frame of lung parenchyma segmentation. Optimal threshold value method and the boundary tracking method are used to get rid of the background interference and segment the lung region. Then new algorithm is used for lung region boundary repairing based on the mathematical morphology method. The experimental results show the new algorithm can segment lung regions from the chest CT images automatically and accurately.
Keywords
computerised tomography; image segmentation; mathematical morphology; medical image processing; CT images; boundary tracking method; computed tomography; lung parenchyma segmentation; mathematical morphology method; optimal threshold value method; Biomedical imaging; Computed tomography; Corrosion; Image segmentation; Lungs; Morphology; Pixel; CT image; aided diagnosis; lung parenchyma; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768258
Filename
5768258
Link To Document