Affiliation:
1. School of Mechanical and Electrical Engineering, Huainan Normal University, Huainan 232038, China
Abstract
In electrical resistance tomography (ERT) technology for human lung, under the same experimental conditions, the width of the sensitive field boundary electrode has a significant impact on the calculation accuracy of the inverse problem besides the finite element model (FEM) topology. Aiming to improve the quality of reconstructed images, the FEM for human lung was set up based on prior knowledge. On this basis, the electrode width of the FEM was optimised by comparing the morbidity degrees of the sensitivity matrix and Hessian matrix, the uniformity of sensitivity distribution, and the quality of reconstructed images, which can improve the accuracy of solving the inverse problem significantly.
Funder
Huainan Normal University Research and Innovation Team
Subject
Multidisciplinary,General Computer Science
Cited by
3 articles.
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