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Fiber Quantification in Rats' Abdominal Aorta Using Matlab

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dc.contributor.author Aresh, Wafa M.
dc.date.accessioned 2018-12-18T19:07:03Z
dc.date.available 2018-12-18T19:07:03Z
dc.date.issued 2012-05
dc.identifier.citation W.M. Aresh, "Fiber Quantification in Rats' Abdominal Aorta Using Matlab", Masters thesis, Dept. of Electrical and Computer Engineering, Univ. of Bridgeport, Bridgeport, CT, 2012. en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/3963
dc.description This thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed please contact the Wahlstrom Library to discuss permission. en_US
dc.description.abstract The quantitative analysis of filaments network in a living cell is important for understanding its role in biological function. A Matlab program, developed by Samir, Shah and others at Wake Forest University in 2004, was used for filaments recognition in 2-D images. The obtained information carries out tremendous mechanical and functional properties based on the cell type and condition. In this work we compared the fibers length and density in both normal and abnormal mouse's abdominal artery images. The results show a huge different in the density of the filaments and the angular orientation. The differences in fibers length were also distributed. Through these results we got motivated to understand the mechanical properties of the Abdominal Aortic Aneurysm (AAA), and how the orientations of filaments tend to change according to the effects. That may lead to suitable strategies towards effective treatments of the Abdominal Aortic Aneurysm. en_US
dc.language.iso en_US en_US
dc.subject Aortic aneurysm en_US
dc.subject Filaments network en_US
dc.subject Matlab en_US
dc.subject Mouse en_US
dc.title Fiber Quantification in Rats' Abdominal Aorta Using Matlab en_US
dc.type Thesis en_US
dc.institute.department School of Business en_US
dc.institute.name University of Bridgeport en_US

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