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An Electrode Array Sensor for Tongue Cancer Detection With Bioelectrical Impedance Spectroscopic Tomography | IEEE Journals & Magazine | IEEE Xplore

An Electrode Array Sensor for Tongue Cancer Detection With Bioelectrical Impedance Spectroscopic Tomography


Abstract:

Bioelectrical Impedance Spectroscopic Tomography (BIST) has been proposed for the detection of tongue tumors. The proposed method is based on Electrode Array Sensor that ...Show More

Abstract:

Bioelectrical Impedance Spectroscopic Tomography (BIST) has been proposed for the detection of tongue tumors. The proposed method is based on Electrode Array Sensor that enables the localization of tongue tumor and quantitative evaluation of the maximum tumor dimension {d}_{\max} . In this study, the detection capability of Electrical Impedance Tomography (EIT) at different positions of the Electrode Array Sensor is investigated by numerical analysis. In addition, the detection sensitivity of Bioelectrical impedance spectroscopy (BIS) of tumor tissue at different positions of the sensor is also investigated. The sensitivity of the sensor is higher than the other excitation fields when the tumor tissue is located in the center of the excitation field. Adipose tissue from beef and porcine is selected to mimic tongue tissue. Five tongue models prepared with {d}_{\max} =3 mm, {d}_{\max}=4.5 mm, {d}_{\max}=6 mm, {d}_{\max}=7.5 mm and {d}_{\max}=9 mm. The results of BIST detection experiments showed that BIST method is able to localize tumor tissue of different dimensions on the tongue, with the best EIT imaging at Pos2 of the sensor. The {Z}''_{{\mathrm {relax}}} is found to be different dimensions of tumor tissue by BIS detection, which increased with the increase of {d}_{\max} . Finally, curve fitting is performed between {Z} ''_{{\mathrm {relax}}} and {d}_{\max} of the tumor tissue. The {d}_{\max} of tumor tissue is calculated according to {Z} ''_{{\mathrm {relax}}} , which helps doctors determine the Tumor Node Metastasis (TNM) classification of tumor tissue.
Published in: IEEE Sensors Journal ( Volume: 22, Issue: 15, 01 August 2022)
Page(s): 15146 - 15153
Date of Publication: 24 June 2022

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