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- W2065854030 abstract "Electrical impedance tomography (EIT) is a new computer tomography technology, which reconstructs an impedance (resistivity, conductivity) distribution or change by making voltage and current measurements on the objects periphery. Image reconstruction in EIT is an ill-posed, non-linear inverse problem. A method deciding the place of impedance change for EIT is proposed in this paper, in which a multilevel BP neural network (MBPNN) is used to express the non-linear relation between the impedance change inside the object and the voltage change measured on the surface of the object. Thus, the location of the impedance change can be decided by the measured voltage variation on the surface, and then the impedance change will be reconstructed with linear approximated method. MBPNN can decide the impedance change location exactly without needing long training time. It alleviates some noise affection and can be expanded, which makes sure about the high precision and space resolution of the reconstructed image that cant be accessed by the back projection method.© (2003) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
- W2065854030 created "2016-06-24" @default.
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- W2065854030 date "2003-03-27" @default.
- W2065854030 modified "2023-09-23" @default.
- W2065854030 title "<title>Dynamic electrical impedance tomography method based on multilevel BP neural network</title>" @default.
- W2065854030 doi "https://doi.org/10.1117/12.477386" @default.
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