DocumentCode :
3638643
Title :
Segmentation of airways in lungs using projections in 3-D CT angiography images
Author :
Danilo Babin;Ewout Vansteenkiste;Aleksandra Pižurica;Wilfried Philips
Author_Institution :
Department of Telecommunications and Information Processing-TELIN-IPI-IBBT, Faculty of Sciences, Ghent University, Sint-Pietersnieuwstraat 41, B-9000, Belgium
fYear :
2010
Firstpage :
3162
Lastpage :
3165
Abstract :
In diagnosing lung diseases, the structure and shape of airways in lungs are of great importance. In this paper we propose a novel method for segmenting low-contrast 3-D CTA images of airways in lungs. Our approach is an edge-detecting slice-by-slice segmentation method, capable of segmenting low contrasted airway regions. Our segmentation using projections method shows robustness in images with high presence of noise.
Keywords :
"Image segmentation","Biomedical imaging","Blood vessels","Lungs","Pixel","Noise","Image edge detection"
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
978-1-4244-4123-5
Electronic_ISBN :
1558-4615
Type :
conf
DOI :
10.1109/IEMBS.2010.5627401
Filename :
5627401
Link To Document :
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