Image reconstruction algorithm for electrical resistance tomography (ERT) based on regularized general inverse method

2002 ◽  
Author(s):  
Ying Wei ◽  
Yu Haibin ◽  
Shi Wang
Keyword(s):  
Image Reconstruction ◽  
Electrical Resistance ◽  
Inverse Method ◽  
Reconstruction Algorithm ◽  
Electrical Resistance Tomography ◽  
Image Reconstruction Algorithm

scholarly journals A New Iterative Algorithm Based on Correction of Sensitivity Matrix for Electrical Resistance Tomography

2019 ◽  
Vol 2019 ◽  
pp. 1-15
Author(s):  
Yutong Chen ◽  
Yan Han ◽  
Wuqiang Yang ◽  
Kun Li
Keyword(s):  
Image Reconstruction ◽  
Electrical Resistance ◽  
Reconstruction Algorithm ◽  
Large Error ◽  
Correction Coefficient ◽  
Sensitivity Matrix ◽  
Electrical Resistance Tomography ◽  
Two Phase ◽  
The Difference ◽  
Theoretical Sensitivity

Electrical resistance tomography (ERT) is used to reconstruct the resistance/conductivity distribution. Usually, a uniform distribution is assumed as the initial condition to obtain a generic sensitivity matrix, which may be very different from a theoretical sensitivity matrix, resulting in a large error. The aim of this study is to analyse the difference between a generalized sensitivity matrix and a theoretical sensitivity matrix and to improve image reconstruction. The effect of the generic sensitivity matrix and theoretical sensitivity matrix on image reconstruction is analyzed. The error caused by the use of the generic sensitivity matrix is estimated. To reduce the error, an improved iterative image reconstruction algorithm is proposed, which is based on calculation of the error between the generic sensitivity matrix and the theoretical sensitivity matrix, and a correction coefficient with a penalty. During the iterative process, the resistivity distribution and sensitivity matrix are alternatively corrected. Simulation and experimental results show that the proposed algorithm can improve the quality of images, e.g., of two-phase distributions.

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