Electrical impedance tomography: a potential tool for intraoperative imaging of the tongue base - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Journal Articles Physiological Measurement Year : 2022

Electrical impedance tomography: a potential tool for intraoperative imaging of the tongue base

Abstract

The presence of a tumor in the tongue is a pathology that requires surgical intervention from a certain stage. This type of surgery is difficult to perform because of the limited space available around the base of the tongue for the insertion of surgical tools. During the procedure, the surgeon has to stretch and then fix the tongue firmly in order to optimize the available space and prevent tissue movement. As a result, the preoperative images of the inside of the tongue no longer give a reliable indication of the position and shape of the cancerous tissue due to the deformation of the overall tissue in the area. Thus, new images are needed during the operation, but are very difficult to obtain using conventional techniques due to the presence of surgical tools. Electrical Impedance Tomography (EIT) is an imaging technique that maps the resistivity or difference of resistivity of biological tissues from electrical signals. The small size of the electrodes makes it a potentially interesting tool to obtain intraoperative images of the inside of the tongue. In this paper, the possibility of using EIT for this purpose is investigated. A detection method is proposed, including an original configuration of the electrodes, consistent with the anatomical specificities of the tongue. The proposed method is studied in simulation and then a proof of concept is obtained experimentally on a 3D printed test tank filled with saline solution and plant fibres.
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Dates and versions

lirmm-03580990 , version 1 (13-03-2024)

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Benoît Brazey, Yassine Haddab, Laure Koebel, Nabil Zemiti. Electrical impedance tomography: a potential tool for intraoperative imaging of the tongue base. Physiological Measurement, 2022, 43 (1), pp.#015008. ⟨10.1088/1361-6579/ac4a87⟩. ⟨lirmm-03580990⟩
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