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dc.contributor.supervisor LoVetri, Joe (Electrical and Computer Engineering) en_US
dc.contributor.author Mojabi, Pedram
dc.date.accessioned 2014-01-14T14:13:21Z
dc.date.available 2014-01-14T14:13:21Z
dc.date.issued 2014-01-14
dc.identifier.uri http://hdl.handle.net/1993/23204
dc.description.abstract This thesis is in the area of ultrasound tomography, which is a non-destructive imaging method that attempts to create quantitative images of the acoustical properties of an object of interest (OI). Specifically, three quantitative images per OI are created in this thesis, two of which correspond to the complex compressibility profile of the OI, and the other corresponds to its density profile. The focus of this thesis is on the development of an appropriate two-dimensional inverse scattering algorithm to create these quantitative images. The core of this algorithm is the Born iterative method that is used in conjunction with a fast and efficient method of moments forward solver, a Krylov subspace regularization technique, and a balancing method. This inversion algorithm is capable of simultaneous inversion of multiple-frequency data, and can handle a large imaging domain. This algorithm is finally tested against synthetic and measured data. en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject Ultrasound Tomography en_US
dc.subject Inverse Scattering en_US
dc.title Ultrasound tomography: an inverse scattering approach en_US
dc.type info:eu-repo/semantics/masterThesis
dc.degree.discipline Electrical and Computer Engineering en_US
dc.contributor.examiningcommittee Bridges, Gregory (Electrical and Computer Engineering) Rickey, Daniel (Radiology) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note February 2014 en_US


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