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Ultrasound-Guided Weighting of Regularization Parameters for EIT Image Reconstruction

Jiaqi Han  Shu Zhao  Shangjie Ren  Feng Dong  
【摘要】:Electrical impedance tomography(EIT) has the advantages of non-invasion,non-radiation,low cost and sustainable detection,and is suitable for clinical real-time monitoring.However,the inverse problem of EIT is seriously ill-conditioned and is usually solved by regularization.When the inverse problem of EIT is solved by Tikhonov regularization,the selection of regularized parameters has a great influence on the quality of the reconstructed image and proposes a method to guide the selection of regularized parameters using B-mode ultrasonic information.The inclusion information is extracted from B-mode ultrasound scanning images and used as the basis for selecting regularization parameters.The simulation experiment proves that the regularization parameter adjusted by B-mode ultrasound information has a good reconstruction effect on the imaging boundary.

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