电阻抗断层成像
电阻抗
断层摄影术
二次方程
电阻率层析成像
计算机科学
数学优化
控制理论(社会学)
数学
物理
电气工程
工程类
人工智能
电阻率和电导率
光学
几何学
控制(管理)
作者
Min Duan,Xiao Peng Li,Jiaxin Chen,Lin Yang,Meng Dai
标识
DOI:10.1109/lsp.2025.3592596
摘要
Electrical impedance tomography (EIT) is a promising imaging technique in the medical field. However, its clinical application is limited by several challenges, such as poor electrode contact and body movement. These factors introduce impulsive noise in boundary voltage measurement, resulting in the performance degradation of the conventional imaging methods. This letter devises a robust approach to improve the performance in such scenarios. Unlike traditional algorithms that use an identity matrix as the measurement noise weight matrix, the suggested method designs a strategy to update the weight matrix during iteration for outlier resistance. Specifically, we apply the penalty technique to optimize the weight matrix and thus formulate the imaging task as a half-quadratic optimization problem. In addition, we exploit a median absolute deviation based confidence interval to distinguish outlier-contaminated and normal channels, such that the elements of the diagonal weight matrix are either 0 or 1. Subsequently, the resultant optimization task is addressed using the alternating minimization method. Experimental results show that the proposed approach outperforms the state-of-the-art algorithms in the presence of impulsive noise.
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