Publication: A novel strategy to guarantee convergence by avoiding divergence in estimation process for evaluating head tissue conductivities
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Issued Date
2017
Resource Type
File Type
application/pdf
Other identifier(s)
2-s2.0-85039927652
Rights Holder(s)
Scopus
Bibliographic Citation
2017 International Electrical Engineering Congress, iEECON 2017. (2017)
Suggested Citation
Ouypornkochagorn T. A novel strategy to guarantee convergence by avoiding divergence in estimation process for evaluating head tissue conductivities. 2017 International Electrical Engineering Congress, iEECON 2017. (2017). doi:10.1109/IEECON.2017.8075873 Retrieved from: https://hdl.handle.net/20.500.14740/4049
Author(s)
Abstract
One of auxiliary processes to obtain the optimal solution of an inverse problem is to use guaranteeing convergence strategy. Line-search strategy is the oldest and the most widely used one. However, line-search strategy is not suitable in some situations, in particular, in non-linear situations where many local minima are present. Seeking an optimal solution for head tissue conductivities estimation with electrical impedance tomography (EIT) technique is a kind of such situation. Noise and modeling error also are crucial factors to determine the accuracy and the reliability of the estimation, and, many times, the line-search strategy cannot deal with. In this work, a novel guaranteeing convergence strategy is proposed by restricting the change of estimates during the iterative process of the estimation. Respecting the simulation result, the novel strategy employment shows the improvement of reliability and local minima avoidance even working in a high-degree non-linear situation. ©2017 IEEE.
Subject(s)
Electric impedance
Electric impedance measurement
Electric impedance tomography
Iterative methods
Optimal systems
Optimization
Tissue
Tomography
Auxiliary process
Avoiding divergence
Electrical impe dance tomography (EIT)
Estimation process
Guaranteeing convergence
Iterative process
Optimal solutions
Tissue conductivity
Inverse problems
Electric impedance measurement
Electric impedance tomography
Iterative methods
Optimal systems
Optimization
Tissue
Tomography
Auxiliary process
Avoiding divergence
Electrical impe dance tomography (EIT)
Estimation process
Guaranteeing convergence
Iterative process
Optimal solutions
Tissue conductivity
Inverse problems