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
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;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768258
