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• W1529548832 startingPage "1179" @default.
• W1529548832 abstract "This paper describes a multiple background subtraction method in frequency difference electrical impedance tomography (fdEIT) to detect an admittivity anomaly from a high-contrast background conductivity distribution. The proposed method expands the use of the conventional weighted frequency difference EIT method, which has been used limitedly to detect admittivity anomalies in a roughly homogeneous background. The proposed method can be viewed as multiple weighted difference imaging in fdEIT. Although the spatial resolutions of the output images by fdEIT are very low due to the inherent ill-posedness, numerical simulations and phantom experiments of the proposed method demonstrate its feasibility to detect anomalies. It has potential application in stroke detection in a head model, which is highly heterogeneous due to the skull." @default.
• W1529548832 created "2016-06-24" @default.
• W1529548832 creator A5034037522 @default.
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• W1529548832 date "2015-05-26" @default.
• W1529548832 modified "2023-09-26" @default.
• W1529548832 title "Detection of admittivity anomaly on high-contrast heterogeneous backgrounds using frequency difference EIT" @default.
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• W1529548832 doi "https://doi.org/10.1088/0967-3334/36/6/1179" @default.
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