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arxiv: 1812.05300 · v1 · pith:UEYOLVKUnew · submitted 2018-12-13 · 🧮 math.NA · math.AP

Monotonicity based shape reconstruction in electrical impedance tomography

classification 🧮 math.NA math.AP
keywords measurementsconductivitylargershapesmallercurrent-voltageelectricalimpedance
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Current-voltage measurements in electrical impedance tomography can be partially ordered with respect to definiteness of the associated self-adjoint Neumann-to-Dirichlet operators (NtD). With this ordering, a point-wise larger conductivity leads to smaller current-voltage measurements, and smaller conductivities lead to larger measurements. We present a converse of this simple monotonicity relation and use it to solve the shape reconstruction (aka inclusion detection) problem in EIT. The outer shape of a region where the conductivity differs from a known background conductivity can be found by simply comparing the measurements to that of smaller or larger test regions.

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