Fiber Quantification in Rats' Abdominal Aorta Using Matlab
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Authors
Aresh, Wafa M.
Issue Date
2012-05
Type
Thesis
Language
en_US
Keywords
Aortic aneurysm , Filaments network , Matlab , Mouse
Alternative Title
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.
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.
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.