## Evaluation of a Non-linear Reconstruction Algorithm for Impedance Imaging |

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### Contents

Results and Discussion | 11 |

Conclusion | 20 |

The Finite Element Method via an Example | 38 |

2 other sections not shown

### Common terms and phrases

32 iterations actual image Amp/cm ansle approximate apriori information block diagram Calculate nodal voltages CIT system column vector convergence correct location correspond to nodes cross-section current-sensing electrode data file Dirichlet boundary conditions element properties element stiffness matrix elements closer elliptical model eranse factor graph finite element analysis finite element method finite-element method finite-element model Gauss-Seidel iteration Hence Huebner impedance camera impedance profile initial guess iteration method Laplace's equation let nodes master matrix mean-square variation node numbers nuclear magnetic resonance number of iterations number of nodes numerical analysis ohm-cm percent phantom object Poisson's equation potential distribution processor proj projection angles raw data reconstructed image reconstruction algorithm rectangular element relaxation constant Relaxation factor resistivity of element resistivity profile respectively rigid boundary conditions risht sensitivity matrix shape functions shown in Fig simulated solve spatial resolution status='old Step symmetric system of equations triangular element upper left Volts x-ray