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Structure preserving solution method for Electrical Impedance Tomography Host Publication: Proc. SIAM 2006 Annual Meeting, July 10-14, 2006, Boston, MA Authors: B. Truyen, L. Dimiccoli and J. Cornelis Publication Year: 2006
Abstract: The well-established concept of subspace algorithms has led us to introduce a new structured problem formulation for Electrical Impedance Tomography. Whereas conventional output-least squares methods can be regarded as minimizing a certain error norm, solutions are recovered here as the minimizers of a closely related residual norm problem. An iterative solution scheme is shown to lead to a sequence of structured sparse matrix problems, the conditioning of which appears to be far more favorable than typically observed in output least squares.
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