Modelling of electromagnetic field distribution for optimising electrode configurations in liver MR-based electrical impedance tomography

• Published in: Electronics letters 2014-08, Vol.50 (18), p.1273-1275
• Main Authors: Oh, Tong In, Chauhan, Munish, Sajib, Saurav, Kim, Ji Eun, Jeong, Woo Chul, Wi, Hun, Kim, Hyung Joong, Kwon, Oh, Woo, Eung Je
• Format: Article
• Language: English
• Subjects: Applied sciences; Artificial intelligence; bioelectric phenomena; Biological; Biological and medical sciences; biological systems; biological tissues; biomedical electrodes; biomedical MRI; Biomedical technology; Computer science; control theory; systems; current density; current density distribution; Density; electric field distribution; electric impedance imaging; electrical conductivity; Electrical impedance; electrode configurations; Electrodes; Electrodiagnosis. Electric activity recording; Electromagnetic fields; Exact sciences and technology; external injected current; finite element analysis; Fundamental and applied biological sciences. Psychology; General aspects; Investigative techniques, diagnostic techniques (general aspects); in‐vivo electromagnetic field distributions; Liver; liver MREIT; liver MR‐based electrical impedance tomography; magnetic flux; magnetic flux density measurement; magnetic resonance‐based electrical impedance tomography; Mathematical models; Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects); Medical sciences; Pattern recognition. Digital image processing. Computational geometry; three‐dimensional FEM model; Tomography; voltage distribution
• ISSN: 0013-5194; 1350-911X; 1350-911X
• DOI: 10.1049/el.2014.1470

In-vivo electromagnetic field distributions of biological systems can be imaged from the measured magnetic flux density of magnetic resonance-based electrical impedance tomography (MREIT), which was induced by the externally injected current through a pair of electrodes. Since the electromagnetic field is affected by the injected current and electrical conductivity of biological tissues, the electrode type and position are important factors for determining the voltage and current density distribution. Using a three-dimensional finite element model, the current pathway and electric field distribution to optimise the electrode configurations in liver MREIT are estimated.