Block-Sparse Reconstruction for Electrical Impedance Tomography
WANG Qi①② ZHANG Pengcheng①② WANG Jianming①② LI Xiuyan①② LIAN Zhijie①② CHEN Qingliang③ CHEN Tongyun③ CHEN Xiaojing①② HEJing①② DUAN Xiaojie①② WANG Huaxiang④
①(School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin 300387, China) ②(Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin 300387, China) ③(Tianjin Chest Hospital, Tianjin 300000, China) ④(School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China)
Abstract：An electrical impedance image reconstruction algorithm based on adaptive block-sparse dictionary is proposed. A block-sparse dictionary is constructed creatively, which preferably preserves the details of reconstructed images. Meanwhile, the sparsifying dictionary optimization and image reconstruction are performed alternately, and the intermediate result of the iterative reconstruction is used as the training sample of the sparse dictionary, which can effectively improve the learning effect of the dictionary. The numerical simulation and experiment results show that the patch-based sparsity method for measure noise has excellent robustness and can accurately reconstruct the conductivity distribution image, especially the precise details of mutation.
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