Gil, DeboraSanchez, CarlesBorras, AgnesDiez-Ferrer, MaríaRosell, Antoni, 1963-2020-07-072020-07-072019-12-19https://hdl.handle.net/2445/168037Segmentation 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.17 p.application/pdfengcc by (c) Gil, Debora et al., 2019http://creativecommons.org/licenses/by/3.0/es/Malalties del pulmóTomografiaPulmonary diseasesTomographyinfo:eu-repo/semantics/article2020-07-06info:eu-repo/semantics/openAccess31856216