New regularized image reconstruction for electrical impedance tomography

Weidong Hou; Yu Long Mo

doi:10.1117/12.441539

20 September 2001 New regularized image reconstruction for electrical impedance tomography

Weidong Hou, Yu Long Mo

Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441539
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Image reconstruction in electrical impedance tomography (EIT) is a highly ill-posed, non-linear inverse problem. A new regularization method based on the spatial filtering theory to reconstruct the impedance distribution in EIT is proposed in this paper. The new regularized reconstruction for EIT is independent on the estimation of impedance distribution, so it achieves a lower implementation complexity than the maximum a posteriori (MAP) regularization method. The regularization level in our new method varies spatially so as to be suited to the correlation character of the object's impedance distribution. The computer simulation results indicate that the regularization method based on the spatial filtering theory performs better than Tikhonov regularization method in solving the ill-posed problem of dynamic EIT.

Citation Download Citation

Weidong Hou and Yu Long Mo "New regularized image reconstruction for electrical impedance tomography", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); https://doi.org/10.1117/12.441539

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