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• W3100101641 abstract "In electrical impedance tomography, algorithms based on minimizing the linearized-data-fit residuum have been widely used due to their real-time implementation and satisfactory reconstructed images. However, the resulting images usually tend to contain ringing artifacts. In this work, we shall minimize the linearized-data-fit functional with respect to a linear constraint defined by the monotonicity relation in the framework of real electrode setting. Numerical results of standard phantom experiment data confirm that this new algorithm improves the quality of the reconstructed images as well as reduce the ringing artifacts." @default.
• W3100101641 created "2020-11-23" @default.
• W3100101641 creator A5046854746 @default.
• W3100101641 creator A5056148576 @default.
• W3100101641 date "2018-01-01" @default.
• W3100101641 modified "2023-09-24" @default.
• W3100101641 title "Monotonicity-Based Regularization for Phantom Experiment Data in Electrical Impedance Tomography" @default.
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• W3100101641 doi "https://doi.org/10.1007/978-3-319-70824-9_6" @default.
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