Abstract
An image reconstruction algorithm, which is developed for a 12-electrode capacitively coupled electrical resistance tomography (CCERT) system under 2-electrode excitation strategy, is proposed. Based on L-curve and Reginska’s method, truncated singular value decomposition (TSVD) is used to reconstruct the initial image. The algebraic reconstruction technique (ART) algorithm is used to obtain the final reconstructed image. Image reconstruction experiments are conducted by a 12-electrode CCERT system. The proposed algorithm (TSVD + ART) is compared with conventional linear back projection (LBP), Tikhonov, Landweber, ART, simultaneous iterative reconstruction technique (SIRT), total variation (TV), conjugate gradient (CG), and TSVD to evaluate its image reconstruction performance. Image reconstruction results show the proposed algorithm (TSVD + ART) can effectively exploit the advantages of 2-electrode excitation strategy and hence realize higher quality image reconstruction. Under 2-electrode excitation strategy, the proposed algorithm has an obvious advantage over conventional image reconstruction algorithms. Under 1-electrode excitation strategy, the image reconstruction performance is comparable or slightly improved compared with that of conventional image reconstruction algorithms. Image reconstruction results also indicate the TSVD is effective to obtain the initial reconstructed image. The quality of the initial reconstructed image can be significantly improved compared with that of classic LBP, either under 2-electrode excitation strategy or 1-electrode excitation strategy.
| Original language | English |
|---|---|
| Article number | 4505911 |
| Journal | IEEE Transactions on Instrumentation and Measurement |
| Volume | 70 |
| DOIs | |
| Publication status | Published - 19 Jul 2021 |
Funding
Manuscript received May 4, 2021; revised June 25, 2021; accepted July 6, 2021. Date of publication July 19, 2021; date of current version August 2, 2021. This work was supported by the National Nature Science Foundation of China under Grant 51976189. The Associate Editor coordinating the review process was Dr. Adam G. Polak. (Corresponding author: Zhiyao Huang.) Zhen Xu, Junchao Huang, Yandan Jiang, Baoliang Wang, and Zhiyao Huang are with the State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China (e-mail: [email protected]).