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However, brain injury monitoring by EIT imaging suffers from image noise (IN) and resolution problems, causing blurred reconstructions. To address these problems, a least absolute shrinkage and selection operator model is built, and a fast iterative shrinkage-thresholding algorithm with continuation (FISTA-C) is proposed. Results of numerical simulations and head phantom experiments indicate that FISTA-C reduces IN by 63.2%, 47.2%, and 29.9% and 54.4%, 44.7%, and 22.7%, respectively, when compared with the damped least-squares algorithm, the split Bergman, and the FISTA algorithms. When the signal-to-noise ratio of the measurements is 80\u201350 dB, FISTA-C can reduce IN by 83.3%, 72.3%, and 68.7% on average when compared with the three algorithms, respectively. Both simulation and phantom experiments suggest that FISTA-C produces the best image resolution and can identify the two closest targets. Moreover, FISTA-C is more practical for clinical application because it does not require excessive parameter adjustments. This technology can provide better reconstruction performance and significantly outperforms the traditional algorithms in terms of IN and resolution and is expected to offer a general algorithm for brain injury monitoring imaging via EIT.<\/jats:p>","DOI":"10.3390\/s22249934","type":"journal-article","created":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T09:31:01Z","timestamp":1671442261000},"page":"9934","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Fast Iterative Shrinkage-Thresholding Algorithm with Continuation for Brain Injury Monitoring Imaging Based on Electrical Impedance Tomography"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0358-0683","authenticated-orcid":false,"given":"Xuechao","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, The Fourth Military Medical University, Xi\u2019an 710032, China"},{"name":"Shaanxi Key Laboratory for Bioelectromagnetic Detection and Intelligent Perception, Xi\u2019an 710032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1535-4309","authenticated-orcid":false,"given":"Tao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, The Fourth Military Medical University, Xi\u2019an 710032, China"},{"name":"Drug and Instrument Supervision and Inspection Station, Xining Joint Logistics Support Center, Lanzhou 730050, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1968-7669","authenticated-orcid":false,"given":"Jian\u2019an","family":"Ye","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, The Fourth Military Medical University, Xi\u2019an 710032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Tian","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, The Fourth Military Medical University, Xi\u2019an 710032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weirui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, The Fourth Military Medical University, Xi\u2019an 710032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bin","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, The Fourth Military Medical University, Xi\u2019an 710032, China"},{"name":"Shaanxi Key Laboratory for Bioelectromagnetic Detection and Intelligent Perception, Xi\u2019an 710032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Dai","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, The Fourth Military Medical University, Xi\u2019an 710032, China"},{"name":"Shaanxi Key Laboratory for Bioelectromagnetic Detection and Intelligent Perception, Xi\u2019an 710032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Canhua","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, The Fourth Military Medical University, Xi\u2019an 710032, China"},{"name":"Shaanxi Key Laboratory for Bioelectromagnetic Detection and Intelligent Perception, Xi\u2019an 710032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Fu","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, The Fourth Military Medical University, Xi\u2019an 710032, China"},{"name":"Shaanxi Key Laboratory for Bioelectromagnetic Detection and Intelligent Perception, Xi\u2019an 710032, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2061","DOI":"10.1007\/s00415-014-7291-1","article-title":"Progressing haemorrhagic stroke: Categories, causes, mechanisms and managements","volume":"261","author":"Chen","year":"2014","journal-title":"J. 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