Electrical tomography artifact suppression image reconstruction method

Abstract

The invention discloses an electrical tomography artifact suppression image reconstruction method. The method comprises the following steps: (1) obtaining a relative boundary measurement value vectorbmeas and a sensitivity matrix A required by reconstruction according to a measured field domain; (2) setting initialization parameters; (3) updating an adaptive regularization parameter lambda k; (4)updating the auxiliary variable pk + 1; (5) updating the weight factor omega k; (6) updating the auxiliary variable qk + 1; (7) updating the auxiliary variable rk + 1; (8) updating the conductivity distribution gk + 1; (9) newly adding Gamma < 1 > T, Gamma < 2 > T and Gamma < 3 > T of the Cantonese multiplier; (10) judging whether the iteration meets an iteration termination condition or k is less than or equal to kmax, if so, terminating the iteration, and carrying out the next operation; if not, k is set to be equal to k + 1, the step (3) is executed again, and iterative solution is continued; and (11) imaging according to the gray value obtained by final solution. According to the invention, the step artifact can be effectively reduced, the noise immunity is improved, the algorithm structure is simplified, and the applicability of the algorithm is improved.

Description

technical field [0001] The invention belongs to the technical field of electrical tomography, and relates to image reconstruction using an electrical tomography artifact suppression image reconstruction method, in particular to an electrical tomography artifact suppression image reconstruction method. Background technique [0002] Electrical tomography (Electrical Tomography, ET) appeared in the late 1980s. It is a process tomography technology based on the sensitive mechanism of electrical properties. It is based on the measurement of the electrical properties (conductivity / Permittivity / complex admittance / permeability) distribution information is imaged, and then the distribution information of the medium is obtained. Electrical tomography has broad application prospects in the fields of multiphase flow, geological exploration and medical imaging. It can realize long-term and continuous monitoring, and then realize functional imaging. [0003] The solution to the inverse ...

AI Technical Summary

Problems solved by technology

[0004] In existing studies, these hybrid regularization algorithms are limited to noise-sensitive L 2 The norm fidelity term and the isotropic TV penalty term that produces staircase artifacts to a certain extent make the imaging results susceptible to noise and cannot remove staircase artifacts well

Therefore, this hybrid method still cannot obtain a good imaging effect, and it also complicates the structure of the algorithm, making it difficult to popularize and use it in practical applications.

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