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Multifrequency electrical impedance tomography using spectral constraints

Malone, E; Sato Dos Santos, G; Holder, D; Arridge, S; (2014) Multifrequency electrical impedance tomography using spectral constraints. IEEE Trans Med Imaging , 33 (2) 340 - 350. 10.1109/TMI.2013.2284966. Green open access

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Abstract

Multifrequency electrical impedance tomography (MFEIT) exploits the dependence of tissue impedance on frequency to recover an image of conductivity. MFEIT could provide emergency diagnosis of pathologies such as acute stroke, brain injury and breast cancer. We present a method for performing MFEIT using spectral constraints. Boundary voltage data is employed directly to reconstruct the volume fraction distribution of component tissues using a nonlinear method. Given that the reconstructed parameter is frequency independent, this approach allows for the simultaneous use of all multifrequency data, thus reducing the degrees of freedom of the reconstruction problem. Furthermore, this method allows for the use of frequency difference data in a nonlinear reconstruction algorithm. Results from empirical phantom measurements suggest that our fraction reconstruction method points to a new direction for the development of multifrequency EIT algorithms in the case that the spectral constraints are known, and may provide a unifying framework for static EIT imaging.

Type: Article
Title: Multifrequency electrical impedance tomography using spectral constraints
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TMI.2013.2284966
Publisher version: http://dx.doi.org/10.1109/TMI.2013.2284966
Language: English
Additional information: © 2013 IEEE. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Keywords: Algorithms, Computer Simulation, Electric Impedance, Image Processing, Computer-Assisted, Models, Biological, Phantoms, Imaging, Reproducibility of Results, Tomography, Vegetables
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1425612
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