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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 del pulmó 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: | Publicacions de projectes de recerca finançats per la UE Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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