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An impedance probing system for real-time intra-operative brain tumour tissue discrimination
File | Description | Size | Format | |
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BIOCAS2019B.pdf | Accepted version | 2.19 MB | Adobe PDF | View/Open |
Title: | An impedance probing system for real-time intra-operative brain tumour tissue discrimination |
Authors: | Wong, S Ekanayake, J Liu, Y Constandinou, T |
Item Type: | Conference Paper |
Abstract: | The ability to perform realtime diagnostics of tissueintraoperatively can greatly enhance the precision and effective-ness of the underlying surgery, for example, in tumour resection.To achieve this however would require a miniature tool ableto performin situ, in-vivocharacterisation for distinguishingbetween different types of tissues. In this work, we exploredthe feasibility and requirements of implementing a portableimpedance characterisation system for brain tumour detection.We proposed and implemented a novel system based on PCB-based instrumentation using a square four-electrode microendo-scopic probe. The system uses a digital-to-analogue converterto generate a multi-tone sinusoid waveform, and a floating bi-directional voltage-to-current converter to output the differentialstimulation current to one pair of electrodes. The other pairof electrodes are connected to the sensing circuit based on aninstrumentation amplifier. The recorded data is pre-processed bythe micro-controller and then analysed on a host computer. Toevaluate the system, tetrapolar impedances have been recordedfrom a number of different electrode configurations to sense pre-defined resistance values. The overall system consumes 143 mAcurrent, achieve 0.1% linearity and 15μV noise level, with amaximum signal bandwidth of 100 kHz. Initial experimentalresults on tissue were carried out on a piece of rib-eye steak.Electrical impedance maps (EIM) and contour plots were thenreconstructed to represent the impedance value in different tissue region. |
Issue Date: | 5-Dec-2019 |
Date of Acceptance: | 12-Aug-2019 |
URI: | http://hdl.handle.net/10044/1/74994 |
DOI: | 10.1109/BIOCAS.2019.8918743 |
Publisher: | IEEE |
Start Page: | 1 |
End Page: | 4 |
Copyright Statement: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Sponsor/Funder: | Wellcome Trust Engineering & Physical Science Research Council (EPSRC) |
Funder's Grant Number: | BH134389 EP/M020975/1 |
Conference Name: | IEEE Biomedical Circuits and Systems (BioCAS) Conference |
Keywords: | Science & Technology Technology Computer Science, Information Systems Engineering, Biomedical Engineering, Electrical & Electronic Computer Science Engineering |
Publication Status: | Published |
Start Date: | 2019-10-17 |
Finish Date: | 2019-10-19 |
Conference Place: | Nara, Japan |
Online Publication Date: | 2019-12-05 |
Appears in Collections: | Electrical and Electronic Engineering Faculty of Engineering |