Detection and Characterization of degeneration of Micro- circulation in Patients with Sepsis Using Sidestream Dark field (SDF)

Author(s)

Jihan Mohamad Zoghbi

• Document type: Doctoral Thesis
• Press: São Paulo.
• Institution: Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME/SBI)
• Defense date: 2016-09-14
• Advisor: Marcel Parolin Jackowski

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 micro circulatory 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. ln this context, the aim of this work is to propose a new computational methodology based mathematical models: the first isa graph based methodology to obtain metrics for determining the degree of micro-vascular and tissue commitment dueto sepsis. The second model is based on the extraction of a features using local patterns of gray leveis e wavelets coefficients. (AU)

• FAPESP's process: 12/19738-7 - A computational method for the analysis of tissue and microvascular changes in organs with sepsis using the Sidestream Dark FieldImaging (SDF) imaging technique
• Grantee: Jihan Mohamad Zoghbi
• Support Opportunities: Scholarships in Brazil - Doctorate