基于差分迭代的电阻抗成像算法研究

doi:10.19595/j.cnki.1000-6753.tces.201241

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Abstract Most electrical impedance tomography algorithms need to select optimal regula- rization parameters to overcome the ill-conditioned equation and obtain better image quality. This paper proposes an electrical impedance tomography algorithm based on differential iteration, which uses dynamic linear approximation to improve imaging quality without adjusting the regularization parameters. A disturbance model is established in the approximate linear region, and the gradient method is used to derive the conductivity differential iterative relationship for rapid reconstruction. Then, the image reconstructed by this algorithm is compared with the reconstructed image based on several objective regularization parameter selection methods in terms of position error, resolution, shape deformation, ringing, and so on. The simulation results show that the proposed differential iterative algorithm can maintain similar or better results with the commonly used reconstruction algorithms, and has good practical application prospects.

Key words： Electrical impedance tomography differential iteration multitarget imaging fast reconstruction algorithm regularization parameter selection

Received: 18 September 2020

PACS:	TP391.9
	R318

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	Articles by authors
	Zhang Weirui
	Zhang Tao
	Shi Xuetao
	Fu Feng
	Xu Canhua

Cite this article:

Zhang Weirui,Zhang Tao,Shi Xuetao等. An Algorithm of Electrical Impedance Tomography Based on Differential Iteration[J]. Transactions of China Electrotechnical Society, 2021, 36(4): 747-755.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.201241 OR https://dgjsxb.ces-transaction.com/EN/Y2021/V36/I4/747

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