Graph Based Characterization of Microcirculation in Sepsis Using Sidestream Dark Field Imaging

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dc.contributor.author Zoghbi, J. M.
dc.contributor.author De-La-Cruz, L. T.
dc.contributor.author Galarreta, M. A. G. V.
dc.contributor.author Jackowski, Marcel P.
dc.contributor.author Vieira, J. C. F. [UNIFESP]
dc.contributor.author Liberatore, A. M. A. [UNIFESP]
dc.contributor.author Koh, Ivan H. J. [UNIFESP]
dc.contributor.author IEEE
dc.date.accessioned 2016-01-24T14:35:06Z
dc.date.available 2016-01-24T14:35:06Z
dc.date.issued 2014-01-01
dc.identifier http://dx.doi.org/10.1109/SIBGRAPI.2014.27
dc.identifier.citation 2014 27th Sibgrapi Conference On Graphics, Patterns and Images (sibgrapi). New York: Ieee, p. 312-318, 2014.
dc.identifier.uri http://repositorio.unifesp.br/handle/11600/37276
dc.description.abstract Real-time detection of sepsis on a video data is a new aboard technique that aids the septic patient and decreases the high mortality rate. the progressive impairment of the micro-circulation associated with increased systemic inflammatory response in sepsis has been considered the origin of the multiple organ dysfunction syndrome that often leads to death. However, despite the recognized importance of the microcirculatory dysfunction, analysis methods able to correlate the severity of sepsis with the degree of impairment of micro-hemodynamic captured by portable microscope Side-stream Dark Field Imaging (SDF) are rarely used. Hence, the classification of the severity of sepsis by analyzing the micro-circulatory dysfunction would be of great assistance in diagnosing severity and therapeutic management. in this context, the aim of this work is to propose a new computational methodology based on image processing to obtain graph metrics for determining the degree of micro-vascular and tissue commitment due to sepsis. en
dc.format.extent 312-318
dc.language.iso eng
dc.publisher Ieee
dc.relation.ispartof 2014 27th Sibgrapi Conference On Graphics, Patterns and Images (sibgrapi)
dc.rights Acesso restrito
dc.subject Microcirculation en
dc.subject sepsis en
dc.subject image processing en
dc.subject graph metrics en
dc.title Graph Based Characterization of Microcirculation in Sepsis Using Sidestream Dark Field Imaging en
dc.type Trabalho apresentado em evento
dc.rights.license http://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dc.contributor.institution Universidade de São Paulo (USP)
dc.contributor.institution Universidade Federal de São Paulo (UNIFESP)
dc.description.affiliation Univ São Paulo, Inst Math & Stat, São Paulo, Brazil
dc.description.affiliation Universidade Federal de São Paulo, Dept Cirurgia, São Paulo, Brazil
dc.description.affiliationUnifesp Universidade Federal de São Paulo, Dept Cirurgia, São Paulo, Brazil
dc.identifier.doi 10.1109/SIBGRAPI.2014.27
dc.description.source Web of Science
dc.identifier.wos WOS:000352613900041



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