Combining frequency-difference and ultrasound modulated electrical impedance tomography
classification
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electricalerrorsfrequency-differenceimpedancemodulatedtomographyultrasoundaffected
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Electrical impedance tomography (EIT) is highly affected by modeling errors regarding electrode positions and the shape of the imaging domain. In this work, we propose a new inclusion detection technique that is completely independent of such errors. Our new approach is based on a combination of frequency-difference and ultrasound modulated EIT measurements.
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