{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/112826"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/112826","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Global Maxwell Tomography : inverse scattering via magnetic resonance and volume integral equations","abstract":"This thesis describes the development of Global Maxwell Tomography, a global inverse scattering algorithm. This algorithm is based on Volume Integral Equation formulations and operates on Magnetic Resonance data. The algorithm is framed as an optimization problem with box constraints, whereby guesses of material properties are successfully refined until convergence criteria have been met. 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