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dc.contributor.authorBorcea, Liliana
Gray, Genetha Anne
Zhang, Yin
dc.date.accessioned 2018-06-18T17:49:16Z
dc.date.available 2018-06-18T17:49:16Z
dc.date.issued 2002-10
dc.identifier.citation Borcea, Liliana, Gray, Genetha Anne and Zhang, Yin. "Variationally Constrained Numerical Solution of Electrical Impedance Tomography." (2002) https://hdl.handle.net/1911/101993.
dc.identifier.urihttps://hdl.handle.net/1911/101993
dc.description.abstract We propose a novel, variational inversion methodology for the electrical impedance tomography problem, where we seek electrical conductivity σ inside a bounded, simply connected domain Ω, given simultaneous measurements of electric currents I and potentials V at the boundary. Explicitly, we make use of natural, variational constraints on the space of admissible functions σ, to obtain efficient reconstruction methods which make best use of the data. We give a detailed analysis of the variational constraints, we propose a variety of reconstruction algorithms and we discuss their advantages and disadvantages. We also assess the performance of our algorithms through numerical simulations and comparisons with other, well established, numerical reconstruction methods.
dc.format.extent 30 pp
dc.title Variationally Constrained Numerical Solution of Electrical Impedance Tomography
dc.type Technical report
dc.date.note October 2002
dc.identifier.digital TR02-13
dc.type.dcmi Text


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