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

Danilo Babin; Ewout Vansteenkiste; Aleksandra Pizurica; Wilfried Philips

doi:10.1109/IEMBS.2010.5627401

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

Annu Int Conf IEEE Eng Med Biol Soc. 2010:2010:3162-5. doi: 10.1109/IEMBS.2010.5627401.

Authors

Danilo Babin¹, Ewout Vansteenkiste, Aleksandra Pizurica, Wilfried Philips

Affiliation

¹ Department of Telecommunications and Information Processing-TELIN-IPI-IBBT, Faculty of Sciences, Ghent University, Sint-Pietersnieuwstraat 41, B-9000, Belgium. dbabin@telin.ugent.be

PMID: 21096807
DOI: 10.1109/IEMBS.2010.5627401

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.

MeSH terms

Algorithms
Angiography / methods*
Artificial Intelligence
Humans
Imaging, Three-Dimensional / methods*
Lung / diagnostic imaging*
Pattern Recognition, Automated / methods*
Radiographic Image Enhancement / methods
Radiographic Image Interpretation, Computer-Assisted / methods*
Reproducibility of Results
Sensitivity and Specificity
Subtraction Technique*
Tomography, X-Ray Computed / methods*