Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT
Animal models of lung disease are gaining importance in understanding the underlying mechanisms of diseases such as emphysema and lung cancer. Micro-CT allows in vivo imaging of these models, thus permitting the study of the progression of the disease or the effect of therapeutic drugs in longitudin...
| Autores: | , , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 2009 |
| País: | España |
| Institución: | Universidad de Navarra |
| Repositorio: | Dadun. Depósito Académico Digital de la Universidad de Navarra |
| Idioma: | inglés |
| OAI Identifier: | oai:dadun.unav.edu:10171/13522 |
| Acceso en línea: | https://hdl.handle.net/10171/13522 |
| Access Level: | acceso abierto |
| Palabra clave: | Airway segmentation moanalysis Micro-CT X Models of lung Diseases |
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Airway segmentation and analysis for the study of mouse models of lung disease using micro-CTArtaechevarria-Artieda, X. (Xabier)|||/items/f17049ff-74dd-4bbc-a508-032ea2120a1cPerez-Martin, D. (Daniel)|||/items/57e9887a-ad33-46fb-89ba-4d7d6075fd72Ceresa, M. (M.)|||/items/8aa630c6-d2c9-4f14-ac1b-9c522cc0f732Biurrun, G. (Gabriel) de|||/items/c7cac8ca-cdb7-4081-bdaa-54ff769be7ceBlanco, D. (Daniel)|||/items/0a325481-b7d8-4ec6-b8bd-0b043bf35203Montuenga-Badia, L.M. (Luis M.)|||/items/4c999705-b2c9-45ac-ba13-3f18594ae596Ginneken, B. (B.) van|||/items/161c745c-7ceb-44a3-b535-c07c03e4f440Ortiz-de-Solorzano, C. (Carlos)|||/items/b2c0bd13-68a7-437c-b67f-2e5f1a9f0324Muñoz-Barrutia, A. (Arrate)|||/items/38d480d3-2ba0-4f49-a7e3-c3c940d927baAirway segmentation moanalysisMicro-CT XModels of lungDiseasesAnimal models of lung disease are gaining importance in understanding the underlying mechanisms of diseases such as emphysema and lung cancer. Micro-CT allows in vivo imaging of these models, thus permitting the study of the progression of the disease or the effect of therapeutic drugs in longitudinal studies. Automated analysis of micro-CT images can be helpful to understand the physiology of diseased lungs, especially when combined with measurements of respiratory system input impedance. In this work, we present a fast and robust murine airway segmentation and reconstruction algorithm. The algorithm is based on a propagating fast marching wavefront that, as it grows, divides the tree into segments. We devised a number of specific rules to guarantee that the front propagates only inside the airways and to avoid leaking into the parenchyma. The algorithm was tested on normal mice, a mouse model of chronic inflammation and a mouse model of emphysema. A comparison with manual segmentations of two independent observers shows that the specificity and sensitivity values of our method are comparable to the inter-observer variability, and radius measurements of the mainstem bronchi reveal significant differences between healthy and diseased mice. Combining measurements of the automatically segmented airways with the parameters of the constant phase model provides extra information on how disease affects lung function.Institute of PhysicsDadun. Depósito Académico Digital Universidad de Navarra20102010-10-1920092009-11-0420092009-11-04journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10171/13522reponame:Dadun. Depósito Académico Digital de la Universidad de Navarrainstname:Universidad de NavarraInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dadun.unav.edu:10171/135222026-06-21T12:47:57Z |
| dc.title.none.fl_str_mv |
Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT |
| title |
Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT |
| spellingShingle |
Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT Artaechevarria-Artieda, X. (Xabier)|||/items/f17049ff-74dd-4bbc-a508-032ea2120a1c Airway segmentation moanalysis Micro-CT X Models of lung Diseases |
| title_short |
Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT |
| title_full |
Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT |
| title_fullStr |
Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT |
| title_full_unstemmed |
Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT |
| title_sort |
Airway segmentation and analysis for the study of mouse models of lung disease using micro-CT |
| dc.creator.none.fl_str_mv |
Artaechevarria-Artieda, X. (Xabier)|||/items/f17049ff-74dd-4bbc-a508-032ea2120a1c Perez-Martin, D. (Daniel)|||/items/57e9887a-ad33-46fb-89ba-4d7d6075fd72 Ceresa, M. (M.)|||/items/8aa630c6-d2c9-4f14-ac1b-9c522cc0f732 Biurrun, G. (Gabriel) de|||/items/c7cac8ca-cdb7-4081-bdaa-54ff769be7ce Blanco, D. (Daniel)|||/items/0a325481-b7d8-4ec6-b8bd-0b043bf35203 Montuenga-Badia, L.M. (Luis M.)|||/items/4c999705-b2c9-45ac-ba13-3f18594ae596 Ginneken, B. (B.) van|||/items/161c745c-7ceb-44a3-b535-c07c03e4f440 Ortiz-de-Solorzano, C. (Carlos)|||/items/b2c0bd13-68a7-437c-b67f-2e5f1a9f0324 Muñoz-Barrutia, A. (Arrate)|||/items/38d480d3-2ba0-4f49-a7e3-c3c940d927ba |
| author |
Artaechevarria-Artieda, X. (Xabier)|||/items/f17049ff-74dd-4bbc-a508-032ea2120a1c |
| author_facet |
Artaechevarria-Artieda, X. (Xabier)|||/items/f17049ff-74dd-4bbc-a508-032ea2120a1c Perez-Martin, D. (Daniel)|||/items/57e9887a-ad33-46fb-89ba-4d7d6075fd72 Ceresa, M. (M.)|||/items/8aa630c6-d2c9-4f14-ac1b-9c522cc0f732 Biurrun, G. (Gabriel) de|||/items/c7cac8ca-cdb7-4081-bdaa-54ff769be7ce Blanco, D. (Daniel)|||/items/0a325481-b7d8-4ec6-b8bd-0b043bf35203 Montuenga-Badia, L.M. (Luis M.)|||/items/4c999705-b2c9-45ac-ba13-3f18594ae596 Ginneken, B. (B.) van|||/items/161c745c-7ceb-44a3-b535-c07c03e4f440 Ortiz-de-Solorzano, C. (Carlos)|||/items/b2c0bd13-68a7-437c-b67f-2e5f1a9f0324 Muñoz-Barrutia, A. (Arrate)|||/items/38d480d3-2ba0-4f49-a7e3-c3c940d927ba |
| author_role |
author |
| author2 |
Perez-Martin, D. (Daniel)|||/items/57e9887a-ad33-46fb-89ba-4d7d6075fd72 Ceresa, M. (M.)|||/items/8aa630c6-d2c9-4f14-ac1b-9c522cc0f732 Biurrun, G. (Gabriel) de|||/items/c7cac8ca-cdb7-4081-bdaa-54ff769be7ce Blanco, D. (Daniel)|||/items/0a325481-b7d8-4ec6-b8bd-0b043bf35203 Montuenga-Badia, L.M. (Luis M.)|||/items/4c999705-b2c9-45ac-ba13-3f18594ae596 Ginneken, B. (B.) van|||/items/161c745c-7ceb-44a3-b535-c07c03e4f440 Ortiz-de-Solorzano, C. (Carlos)|||/items/b2c0bd13-68a7-437c-b67f-2e5f1a9f0324 Muñoz-Barrutia, A. (Arrate)|||/items/38d480d3-2ba0-4f49-a7e3-c3c940d927ba |
| author2_role |
author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Dadun. Depósito Académico Digital Universidad de Navarra |
| dc.subject.none.fl_str_mv |
Airway segmentation moanalysis Micro-CT X Models of lung Diseases |
| topic |
Airway segmentation moanalysis Micro-CT X Models of lung Diseases |
| description |
Animal models of lung disease are gaining importance in understanding the underlying mechanisms of diseases such as emphysema and lung cancer. Micro-CT allows in vivo imaging of these models, thus permitting the study of the progression of the disease or the effect of therapeutic drugs in longitudinal studies. Automated analysis of micro-CT images can be helpful to understand the physiology of diseased lungs, especially when combined with measurements of respiratory system input impedance. In this work, we present a fast and robust murine airway segmentation and reconstruction algorithm. The algorithm is based on a propagating fast marching wavefront that, as it grows, divides the tree into segments. We devised a number of specific rules to guarantee that the front propagates only inside the airways and to avoid leaking into the parenchyma. The algorithm was tested on normal mice, a mouse model of chronic inflammation and a mouse model of emphysema. A comparison with manual segmentations of two independent observers shows that the specificity and sensitivity values of our method are comparable to the inter-observer variability, and radius measurements of the mainstem bronchi reveal significant differences between healthy and diseased mice. Combining measurements of the automatically segmented airways with the parameters of the constant phase model provides extra information on how disease affects lung function. |
| publishDate |
2009 |
| dc.date.none.fl_str_mv |
2009 2009-11-04 2009 2009-11-04 2010 2010-10-19 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/10171/13522 |
| url |
https://hdl.handle.net/10171/13522 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Institute of Physics |
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Institute of Physics |
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reponame:Dadun. Depósito Académico Digital de la Universidad de Navarra instname:Universidad de Navarra |
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Universidad de Navarra |
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Dadun. Depósito Académico Digital de la Universidad de Navarra |
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Dadun. Depósito Académico Digital de la Universidad de Navarra |
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1869409726572265472 |
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15,300719 |