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http://hdl.handle.net/10773/27957
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | De Francesco, Sílvia | pt_PT |
dc.contributor.author | Martins, Paula | pt_PT |
dc.contributor.author | Esteves, A | pt_PT |
dc.contributor.author | Oliveira, E | pt_PT |
dc.contributor.author | Morais, M. | pt_PT |
dc.contributor.author | Oliveira, Ana | pt_PT |
dc.contributor.author | Marques, Alda | pt_PT |
dc.date.accessioned | 2020-03-17T14:53:51Z | - |
dc.date.available | 2020-03-17T14:53:51Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://hdl.handle.net/10773/27957 | - |
dc.description.abstract | The goal of the study was to assess the effects of a respiratory physiotherapy intervention in the tracheobronchial tree (TBT) volume and lung function in patients with lower respiratory tract infection (LRTI). In this framework, a method for TBT segmentation in Computer Tomography (CT) images of patients with LRTI was implemented, allowing to obtain volumetric data and study their correlation with the lung function (spirometry) parameters | pt_PT |
dc.language.iso | eng | pt_PT |
dc.rights | openAccess | pt_PT |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Lung | pt_PT |
dc.subject | Respiratory system | pt_PT |
dc.subject | Radiographers | pt_PT |
dc.subject | Physiological studies | pt_PT |
dc.subject | CT | pt_PT |
dc.subject | Segmentation | pt_PT |
dc.subject | Infection | pt_PT |
dc.subject | Chronic obstructive airways disease | pt_PT |
dc.title | Lung segmentation in CT scans of patients with lower respiratory tract infection: influence of respiratory physiotherapy | pt_PT |
dc.type | conferenceObject | pt_PT |
dc.description.version | published | pt_PT |
dc.peerreviewed | no | pt_PT |
degois.publication.title | Proceedings of the European Society of Radiology 2018 | pt_PT |
dc.identifier.doi | 10.1594/ecr2018/C-2515 | pt_PT |
Appears in Collections: | ESSUA - Comunicações IBIMED - Comunicações Lab3R - Comunicações |
Files in This Item:
File | Description | Size | Format | |
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ECR2018_C-2515 (1).pdf | 371.36 kB | Adobe PDF | View/Open |
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