Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/168037
Title: Segmentation of distal airways using structural analysis
Author: Gil, Debora
Sanchez, Carles
Borras, Agnes
Diez-Ferrer, María
Rosell, Antoni
Keywords: Malalties dels pulmons
Tomografia
Pulmonary diseases
Tomography
Issue Date: 19-Dec-2019
Publisher: Public Library Science
Abstract: 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.
Note: Reproducció del document publicat a: https://doi.org/10.1371/journal.pone.0226006
It is part of: Plos One, 2019-12-19, Vol. 14, Issue 12
URI: http://hdl.handle.net/2445/168037
Related resource: https://doi.org/10.1371/journal.pone.0226006
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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