Review on Electrical Impedance Tomography: Artificial Intelligence Methods and its Applications

Talha Ali Khan, Sai Ho Ling
<span title="2019-04-26">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/63zsvf7vxzfznojpqgfvpyk2lu" style="color: black;">Algorithms</a> </i> &nbsp;
Electrical impedance tomography (EIT) has been a hot topic among researchers for the last 30 years. It is a new imaging method and has evolved over the last few decades. By injecting a small amount of current, the electrical properties of tissues are determined and measurements of the resulting voltages are taken. By using a reconstructing algorithm these voltages then transformed into a tomographic image. EIT contains no identified threats and as compared to magnetic resonance imaging (MRI)
more &raquo; ... computed tomography (CT) scans (imaging techniques), it is cheaper in cost as well. In this paper, a comprehensive review of efforts and advancements undertaken and achieved in recent work to improve this technology and the role of artificial intelligence to solve this non-linear, ill-posed problem are presented. In addition, a review of EIT clinical based applications has also been presented.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/a12050088">doi:10.3390/a12050088</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/xfx2axmz3jhqnbbtxrdvfeyb54">fatcat:xfx2axmz3jhqnbbtxrdvfeyb54</a> </span>
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