Development of a methodology to determine ventilation parameters with CFD simulations in airway tree geometry obtained from CT scans
Nowadays, the principle on which the distribution of the pulmonary ventilation (V) perfusion (Q) index is based and proposed states the main force that determines this rate is gravity. From this, it was established that the behavior of this index is modified depending on how close the lung lobe of i...
- Autores:
-
Franco Burgos, Eva Isabella
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2021
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/59038
- Acceso en línea:
- http://hdl.handle.net/1992/59038
- Palabra clave:
- Ventilation
Perfusion
Gas exchange
Mathematical model
Lung architecture
Ingeniería
- Rights
- openAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.title.none.fl_str_mv |
Development of a methodology to determine ventilation parameters with CFD simulations in airway tree geometry obtained from CT scans |
title |
Development of a methodology to determine ventilation parameters with CFD simulations in airway tree geometry obtained from CT scans |
spellingShingle |
Development of a methodology to determine ventilation parameters with CFD simulations in airway tree geometry obtained from CT scans Ventilation Perfusion Gas exchange Mathematical model Lung architecture Ingeniería |
title_short |
Development of a methodology to determine ventilation parameters with CFD simulations in airway tree geometry obtained from CT scans |
title_full |
Development of a methodology to determine ventilation parameters with CFD simulations in airway tree geometry obtained from CT scans |
title_fullStr |
Development of a methodology to determine ventilation parameters with CFD simulations in airway tree geometry obtained from CT scans |
title_full_unstemmed |
Development of a methodology to determine ventilation parameters with CFD simulations in airway tree geometry obtained from CT scans |
title_sort |
Development of a methodology to determine ventilation parameters with CFD simulations in airway tree geometry obtained from CT scans |
dc.creator.fl_str_mv |
Franco Burgos, Eva Isabella |
dc.contributor.advisor.none.fl_str_mv |
Cordovez Alvarez, Juan Manuel Bravo Vega, Carlos Andrés |
dc.contributor.author.none.fl_str_mv |
Franco Burgos, Eva Isabella |
dc.contributor.jury.none.fl_str_mv |
Cifuentes de la Portilla, Christian Javier |
dc.subject.keyword.none.fl_str_mv |
Ventilation Perfusion Gas exchange Mathematical model Lung architecture |
topic |
Ventilation Perfusion Gas exchange Mathematical model Lung architecture Ingeniería |
dc.subject.themes.es_CO.fl_str_mv |
Ingeniería |
description |
Nowadays, the principle on which the distribution of the pulmonary ventilation (V) perfusion (Q) index is based and proposed states the main force that determines this rate is gravity. From this, it was established that the behavior of this index is modified depending on how close the lung lobe of interest is to the lung base. However, there is compelling evidence to consider that the behavior of this variable is not governed solely by these laws and that within the lung volume there are random regions with ideal values to carry out gas exchange effectively and these do not obey the previously established trends. A real threedimensional model of the lung airway architecture was obtained from CT-scans and a computational flow dynamics study was performed through these meshed geometries with the objective of determining an in-silico approximation to the real volumetric air flow values in the different lung regions or determined lung lobes, which have a direct repercussion on the index of interest. These values are meant to be parameters inputs to be used in a previously proposed mathematical model whose result illustrates this V / Q index zoning for ideal gas exchange. |
publishDate |
2021 |
dc.date.issued.none.fl_str_mv |
2021-12-13 |
dc.date.accessioned.none.fl_str_mv |
2022-07-22T17:37:28Z |
dc.date.available.none.fl_str_mv |
2022-07-22T17:37:28Z |
dc.type.es_CO.fl_str_mv |
Trabajo de grado - Maestría |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/masterThesis |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
dc.type.content.es_CO.fl_str_mv |
Text |
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https://purl.org/redcol/resource_type/TM |
format |
http://purl.org/coar/resource_type/c_7a1f |
status_str |
acceptedVersion |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/1992/59038 |
dc.identifier.instname.es_CO.fl_str_mv |
instname:Universidad de los Andes |
dc.identifier.reponame.es_CO.fl_str_mv |
reponame:Repositorio Institucional Séneca |
dc.identifier.repourl.es_CO.fl_str_mv |
repourl:https://repositorio.uniandes.edu.co/ |
url |
http://hdl.handle.net/1992/59038 |
identifier_str_mv |
instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
dc.language.iso.es_CO.fl_str_mv |
eng |
language |
eng |
dc.rights.license.spa.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.extent.es_CO.fl_str_mv |
11 páginas |
dc.format.mimetype.es_CO.fl_str_mv |
application/pdf |
dc.publisher.es_CO.fl_str_mv |
Universidad de los Andes |
dc.publisher.program.es_CO.fl_str_mv |
Maestría en Ingeniería Biomédica |
dc.publisher.faculty.es_CO.fl_str_mv |
Facultad de Ingeniería |
dc.publisher.department.es_CO.fl_str_mv |
Departamento de Ingeniería Biomédica |
institution |
Universidad de los Andes |
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Attribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Cordovez Alvarez, Juan Manuel66853295-6737-47b5-a1b2-2f8f17caf512600Bravo Vega, Carlos Andrés96481492-a7fd-4b18-9ef7-1fce2dc9c95e600Franco Burgos, Eva Isabella8118a9c4-a4e3-41d5-bc9f-4cc862d2423e600Cifuentes de la Portilla, Christian Javier2022-07-22T17:37:28Z2022-07-22T17:37:28Z2021-12-13http://hdl.handle.net/1992/59038instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Nowadays, the principle on which the distribution of the pulmonary ventilation (V) perfusion (Q) index is based and proposed states the main force that determines this rate is gravity. From this, it was established that the behavior of this index is modified depending on how close the lung lobe of interest is to the lung base. However, there is compelling evidence to consider that the behavior of this variable is not governed solely by these laws and that within the lung volume there are random regions with ideal values to carry out gas exchange effectively and these do not obey the previously established trends. A real threedimensional model of the lung airway architecture was obtained from CT-scans and a computational flow dynamics study was performed through these meshed geometries with the objective of determining an in-silico approximation to the real volumetric air flow values in the different lung regions or determined lung lobes, which have a direct repercussion on the index of interest. 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