Adaptively Regularized Bases-Expansion Subspace Optimization Methods for Electrical Impedance Tomography
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DOI: 10.1109/tbme.2022.3161526
Abstract: Objective: In this work, to deal with the difficulties in choosing regularization weighting parameters and low spatial resolution problems in difference electrical impedance tomography (EIT), we propose two adaptively regularized bases-expansion subspace optimization methods (AR-BE-SOMs).… read more here.
Keywords: electrical impedance; regularization; impedance tomography; adaptively regularized ... See more keywords