{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T16:07:18Z","timestamp":1777910838563,"version":"3.51.4"},"reference-count":43,"publisher":"SAGE Publications","issue":"14","license":[{"start":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T00:00:00Z","timestamp":1679356800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Scientific and Technological Innovation Program for Universities in Henan Province of China","award":["21HASTIT018"],"award-info":[{"award-number":["21HASTIT018"]}]},{"name":"Foundation for Outstanding Youth of Henan Province of China","award":["212300410055"],"award-info":[{"award-number":["212300410055"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61903127"],"award-info":[{"award-number":["61903127"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:p>Electrical impedance tomography (EIT) is receiving considerable research interest in a variety of applications. With this technique, it is possible to reconstruct conductivity distribution inside the detected region. Note that reconstruction of conductivity distribution is an ill-posed inverse problem. To deal with this problem, Tikhonov regularization method has been preferred. However, this method suffers from poor reconstruction quality. In this work, a novel approach which combines Tikhonov regularization method with wavelet frame is proposed for image reconstruction of EIT. The proposed method is superior to the popular Tikhonov regularization method in enforcing sparse of the solution and enhancing sharp feature. Simulation work has been conducted to validate the performance of the proposed method. Compared with Landweber method, total variation (TV) regularization method, and Tikhonov regularization method, reconstructions of six different models show that images reconstructed by the proposed method have better quality and are more robust to noise. In addition, image reconstruction is also performed based on phantom experimental data. The results further demonstrate that the proposed method outperforms other three methods since the inclusion has been more accurately reconstructed, and there are almost no artifacts in the reconstructed images.<\/jats:p>","DOI":"10.1177\/01423312231159216","type":"journal-article","created":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T08:01:03Z","timestamp":1679385663000},"page":"2658-2668","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Reconstruction of conductivity distribution variation with Tikhonov and wavelet frame combined method for electrical impedance tomography"],"prefix":"10.1177","volume":"45","author":[{"given":"Yanyan","family":"Shi","sequence":"first","affiliation":[{"name":"Henan Key Laboratory of Optoelectronic Sensing Integrated Application, College of Electronic and Electrical Engineering, Henan Normal University, China"},{"name":"School of Biomedical Engineering, Fourth 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