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We present non-iterative reconstruction algorithms developed for conductivity imaging with real data collected on a planar array of electrodes. Such an electrode configuration as well as the proposed imaging techniques are intended to be used for breast cancer detection. The performance of the algorithms was tested on both numerically simulated and real data, and small inclusions with conductivities three or four times the background were successfully detected.
This presentation is part of Minisymposium “MS54 - Hybrid Approaches that Combine Deterministic and Statistical Regularization for Applied Inverse Problems (4 parts)”
organized by: Cristiana Sebu (University of Malta) , Taufiquar Khan (Clemson University) .