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


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.

IEEE Engineering in Medicine and Biology Society Conference Proceedings