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. © 2010 IEEE.
Cite
CITATION STYLE
Babin, D., Vansteenkiste, E., Pižurica, A., & Philips, W. (2010). Segmentation of airways in lungs using projections in 3-D CT angiography images. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC’10 (pp. 3162–3165). https://doi.org/10.1109/IEMBS.2010.5627401
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