%0 Journal Article %T Segmentation of Distal Airways using Structural Analysis %A Debora Gil %A Carles Sanchez %A Agnes Borras %A Marta Diez-Ferrer %A Antoni Rosell %J PloS one %D 2019 %V 14 %N 12 %F Debora Gil2019 %O IAM; 600.139; 600.145 %O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3357), last updated on Tue, 25 Jan 2022 16:34:29 +0100 %X Segmentation of airways in Computed Tomography (CT) scans is a must for accurate support of diagnosis and intervention of many pulmonary disorders. In particular, lung cancer diagnosis would benefit from segmentations reaching most distal airways. We present a method that combines descriptors of bronchi local appearance and graph global structural analysis to fine-tune thresholds on the descriptors adapted for each bronchial level. We have compared our method to the top performers of the EXACT09 challenge and to a commercial software for biopsy planning evaluated in an own-collected data-base of high resolution CT scans acquired under different breathing conditions. Results on EXACT09 data show that our method provides a high leakage reduction with minimum loss in airway detection. Results on our data-base show the reliability across varying breathing conditions and a competitive performance for biopsy planning compared to a commercial solution. %U https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0226006 %U http://refbase.cvc.uab.es/files/GSB2019.pdf %U http://dx.doi.org/10.1371/journal.pone.0226006