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dc.rights.licenseTiene autorización de usoes_CO
dc.rights.licenseNo disponible para uso comercial, venta, o reproducciónes_CO
dc.rights.licenseAl consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.es_CO
dc.contributor.advisorHernández Hoyos, Marcela 
dc.contributor.advisorOrkisz, Maciej
dc.contributor.advisorUriza Carrasco, Luis Felipe
dc.contributor.advisorHernández Peñaloza, José Tiberio 
dc.contributor.authorSolórzano Vargas, Leslie Evelyn
dc.coverage.spatialBogotáes_CO
dc.date.accessioned2018-09-28T10:36:37Z
dc.date.available2018-09-28T10:36:37Z
dc.date.issued2016es_CO
dc.identifier.urihttp://hdl.handle.net/1992/13409
dc.descriptionilustraciones (principalmente a color)es_CO
dc.descriptionIncluye referencias bibliográficases_CO
dc.descriptiontextoes_CO
dc.descriptioncomputadoraes_CO
dc.descriptionrecurso en líneaes_CO
dc.description.abstract"Acute Respiratory Distress Syndrome (ARDS) is a life threatening respiratory condition characterized by hypoxemia (Iow oxygen), change in tissue homogeneity, inflammation and increased permeability in the lung. ARDS is a very heterogeneous pathology both in causes and anatomy. In most cases mechanical ventilation is needed to keep patients alive while the cause is treated. The objective of the work presented in this report is to obtain and display data found from lung CT scans to assess ventilation parameter settings and reduce collateral damage produced by an unfitting ventilation. A general method for lung aeration quantification is proposed along with a measure for tissue inhomogeneity and tissue expansion. The general quantification method allows for a global, regional or local measure. This method is used in the context of the project to calculate local recruitment, i.e, opening of collapsed alveoli, enabling to locate and measure the impact of successfully reopened regions..."es_CO
dc.format.extent1 recurso en línea (28 hojas)es_CO
dc.format.mediumarchivo de textoes_CO
dc.language.isoenges_CO
dc.publisherUniandeses_CO
dc.sourceinstname:Universidad de los Andeses_CO
dc.sourcereponame:Sénecaes_CO
dc.titleLocalized visualization, analysis and quantification of pulmonary parenchyma deformations in 3D images in presence of acute respiratory distress syndrome (ARDS)es_CO
dc.typemasterThesises_CO
dc.publisher.programMaestría en Ingeniería de Sistemas y Computaciónes_CO
dc.rights.accessRightsopenAccess
dc.subject.keywordSíndrome de dificultad respiratoria - Investigacioneses_CO
dc.subject.keywordRespiración artificial - Investigacioneses_CO
dc.subject.keywordImágenes tridimensionales en medicina - Investigacioneses_CO
dc.subject.keywordDiagnóstico por imágenes - Investigacioneses_CO
dc.creator.degreeTesis (Magíster en Ingeniería de Sistemas y Computación) -- Universidad de los Andeses_CO
dc.identifier.urlhttp://biblioteca.uniandes.edu.co/acepto201699.php?id=8949.pdfes_CO
dc.publisher.facultyFacultad de Ingenieríaes_CO
dc.publisher.departmentDepartamento de Ingeniería de Sistemas y Computaciónes_CO


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