A shape reconstruction method for electrical impedance imaging based on auto-encoder

Tao Fang Sr.

doi:10.1117/12.2640164

1 August 2022 A shape reconstruction method for electrical impedance imaging based on auto-encoder

Tao Fang Sr.

Proceedings Volume 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022); 122572L (2022) https://doi.org/10.1117/12.2640164
Event: 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 2022, Guangzhou, China

Abstract

Electrical impedance tomography (EIT) is a non-invasive medical imaging technique, and its reconstruction process has an ill-posed inverse problem. This paper firstly bases on a B-spline curve electrical impedance imaging shape reconstruction model, and secondly obtains the training data of the network by using the EIT forward problem. Finally, image reconstruction is performed using the Auto-Encoder method. The data obtained by simulation and experiment verifies the effectiveness of the method, and the method has good adaptability to the measurement data, the imaging quality of the boundary shape is high, and the imaging efficiency is also improved to a certain extent.

Citation Download Citation

Tao Fang Sr. "A shape reconstruction method for electrical impedance imaging based on auto-encoder", Proc. SPIE 12257, 4th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2022), 122572L (1 August 2022); https://doi.org/10.1117/12.2640164

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