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

  • Babin D
  • Vansteenkiste E
  • Pižurica A
 et al. 
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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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