Electrical Impedance Tomography Based on a High-resolution Direction-of-arrival Estimation Algorithm

• DOI: 10.18494/sam.2020.2952
• Publication Date: 2020-10-20T22:06:50Z
• Authors: Jun Wen; Guoen Wei; Xue Xiong
• Keywords: Electrical Impedance Tomography

The combination of artificial intelligence and medical imaging technology is profoundly affecting the development technology.Electrical impedance tomography (EIT) a noninvasive for estimating internal distribution body becoming promising technology.In this paper, we focus on improving EIT resolution by incorporating direction-of-arrival (DOA) theory into model use DOA estimation algorithm to solve inverse problem EIT.The m-Capon proposed in paper based beamforming framework, there no need estimate order from covariance matrix, high obtained.The algorithms are simulated eidors platform MATLAB.We function, an image reconstruction quality correlation function as evaluation functions.We compare with back-projection (BP) algorithm, Gauss-Newton (GN) multiple signal classification (MUSIC)-like under different models signal-to-noise ratios (SNRs).Simulation results show that used study feasible, gives higher resolution, stronger anti-jamming ability, than other algorithms.