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http://hdl.handle.net/2445/168037
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DC Field | Value | Language |
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dc.contributor.author | Gil, Debora | - |
dc.contributor.author | Sanchez, Carles | - |
dc.contributor.author | Borras, Agnes | - |
dc.contributor.author | Diez-Ferrer, María | - |
dc.contributor.author | Rosell, Antoni | - |
dc.date.accessioned | 2020-07-07T14:46:59Z | - |
dc.date.available | 2020-07-07T14:46:59Z | - |
dc.date.issued | 2019-12-19 | - |
dc.identifier.uri | http://hdl.handle.net/2445/168037 | - |
dc.description.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. | - |
dc.format.extent | 17 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Public Library Science | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1371/journal.pone.0226006 | - |
dc.relation.ispartof | Plos One, 2019-12-19, Vol. 14, Issue 12 | - |
dc.relation.uri | https://doi.org/10.1371/journal.pone.0226006 | - |
dc.rights | cc by (c) Gil, Debora et al., 2019 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.source | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) | - |
dc.subject.classification | Malalties del pulmó | - |
dc.subject.classification | Tomografia | - |
dc.subject.other | Pulmonary diseases | - |
dc.subject.other | Tomography | - |
dc.title | Segmentation of distal airways using structural analysis | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.date.updated | 2020-07-06T08:25:28Z | - |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/712949/EU//TECNIOspring PLUS | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 31856216 | - |
Appears in Collections: | Publicacions de projectes de recerca finançats per la UE Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
This item is licensed under a Creative Commons License