@inproceedings{e819186ddebd451c998ee122b1ca896a,
title = "A New Approach for 2-D EIT Inversion Based on Optimizing a Discrete Loss Framework",
abstract = "In this work, an efficient inversion method is proposed based on the Optimizing a Discrete Loss (ODIL) framework for solving the conductivity inversion problem in electrical impedance tomography (EIT). The approach constructs a discrete residual loss function combined with automatic differentiation and mesh structure, to achieve high-precision inversion of the conductivity distribution. Numerical experiments demonstrate that ODIL exhibits superior reconstruction accuracy and computational efficiency in 2-D EIT imaging. This research validates the effectiveness and adaptability of the ODIL method for EIT conductivity inversion tasks.",
keywords = "Electrical impedance tomography, Optimizing a Discrete Loss, inverse problem",
author = "Xue Wang and Haonan Gong and Tianyi Xie and Chong Wang and Tao Shan",
note = "Publisher Copyright: {\textcopyright} 2025 Applied Computational Electromagnetics Society.; 2025 International Applied Computational Electromagnetics Society Symposium, ACES-China 2025 ; Conference date: 08-08-2025 Through 11-08-2025",
year = "2025",
doi = "10.23919/ACES-China66523.2025.11332962",
language = "英语",
series = "2025 International Applied Computational Electromagnetics Society Symposium, ACES-China 2025 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 International Applied Computational Electromagnetics Society Symposium, ACES-China 2025 - Proceedings",
address = "美国",
}