Dynamic electrical impedance tomography method based on a multilevel BP neural network

Yuan Peng; Yu Long Mo

doi:10.1117/12.477386

25 March 2003 Dynamic electrical impedance tomography method based on multilevel BP neural network

Yuan Peng, Yu Long Mo

Proceedings Volume 5015, Applications of Artificial Neural Networks in Image Processing VIII; (2003) https://doi.org/10.1117/12.477386
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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 object’s 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 can’t be accessed by the back projection method.

Citation Download Citation

Yuan Peng and Yu Long Mo "Dynamic electrical impedance tomography method based on multilevel BP neural network", Proc. SPIE 5015, Applications of Artificial Neural Networks in Image Processing VIII, (25 March 2003); https://doi.org/10.1117/12.477386

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