Imaging of electrical conductivity is a promising technique in biomedical field, which can reveal the impedance distribution within the region of interest. However, the contact measurement of traditional electrical impedance tomography (EIT) results in some challenging practical limitations on its applications. This paper introduces a novel capacitively coupled EIT to the biomaterial/biomedical field for resistivity imaging, and studies various aspects of this new contactless technique on practical applications. A 12-electrode experimental phantom is developed and the corresponding computational model is established to obtain the sensitivity matrix of the phantom. A hybrid image reconstruction method, which combines the Tikhonov regularization method and the simultaneous iterative reconstruction technique, is introduced to solve the inverse problem. In biomedical applications, the frequency-dependent conductivity aspect is very critical. Therefore, both the time-difference and frequency-difference imaging methods are investigated. A background calibration approach is proposed for the frequency-difference capacitively coupled EIT to overcome the frequency dependence of the background signal. Experiments were carried out with three kinds of biomaterials and three backgrounds with different conductivities. Results show the working principles and potential of the capacitively coupled EIT on biomaterial and biomedical applications.
- Electrical impedance tomography (EIT)
- biomaterial and biomedical application
- capacitively coupled EIT
- frequency-difference imaging
- time-difference imaging
ASJC Scopus subject areas
- Computer Science(all)
- Materials Science(all)
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- Department of Electronic & Electrical Engineering - Professor
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Centre for Biosensors, Bioelectronics and Biodevices (C3Bio)
- Centre for Autonomous Robotics (CENTAUR)
- Electronics Materials, Circuits & Systems Research Unit (EMaCS)
Person: Research & Teaching