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Segmentation of airways in lungs using projections in 3-D CT angiography images

Danilo Babin (UGent) , Ewout Vansteenkiste (UGent) , Aleksandra Pizurica (UGent) and Wilfried Philips (UGent)
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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.

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Chicago
Babin, Danilo, Ewout Vansteenkiste, Aleksandra Pizurica, and Wilfried Philips. 2010. “Segmentation of Airways in Lungs Using Projections in 3-D CT Angiography Images.” In IEEE Engineering in Medicine and Biology Society Conference Proceedings, 3162–3165. New York, NY, USA: IEEE.
APA
Babin, D., Vansteenkiste, E., Pizurica, A., & Philips, W. (2010). Segmentation of airways in lungs using projections in 3-D CT angiography images. IEEE Engineering in Medicine and Biology Society Conference Proceedings (pp. 3162–3165). Presented at the 2010 32nd Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010) : Merging medical humanism and technology, New York, NY, USA: IEEE.
Vancouver
1.
Babin D, Vansteenkiste E, Pizurica A, Philips W. Segmentation of airways in lungs using projections in 3-D CT angiography images. IEEE Engineering in Medicine and Biology Society Conference Proceedings. New York, NY, USA: IEEE; 2010. p. 3162–5.
MLA
Babin, Danilo, Ewout Vansteenkiste, Aleksandra Pizurica, et al. “Segmentation of Airways in Lungs Using Projections in 3-D CT Angiography Images.” IEEE Engineering in Medicine and Biology Society Conference Proceedings. New York, NY, USA: IEEE, 2010. 3162–3165. Print.
@inproceedings{1072525,
  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.},
  author       = {Babin, Danilo and Vansteenkiste, Ewout and Pizurica, Aleksandra and Philips, Wilfried},
  booktitle    = {IEEE Engineering in Medicine and Biology Society Conference Proceedings},
  isbn         = {9781424441242},
  issn         = {1557-170X},
  language     = {eng},
  location     = {Buenos Aires, Argentina},
  pages        = {3162--3165},
  publisher    = {IEEE},
  title        = {Segmentation of airways in lungs using projections in 3-D CT angiography images},
  url          = {http://dx.doi.org/10.1109/IEMBS.2010.5627401},
  year         = {2010},
}

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