Gated Conductivity Imaging using KHU Mark2 EIT System with Nano-web Fabric Electrode Interface

나노웹 섬유형 전극 인터페이스와 KHU Mark2 EIT 시스템을 이용한 생체신호 동기 도전율 영상법

  • Kim, Tae-Eui (Impedance Imaging Research Center and Department of Biomedical Engineering, Kyung Hee University) ;
  • Kim, Hyun-Ji (Impedance Imaging Research Center and Department of Biomedical Engineering, Kyung Hee University) ;
  • Wi, Hun (Impedance Imaging Research Center and Department of Biomedical Engineering, Kyung Hee University) ;
  • Oh, Tong-In (Impedance Imaging Research Center and Department of Biomedical Engineering, Kyung Hee University) ;
  • Woo, Eung-Je (Impedance Imaging Research Center and Department of Biomedical Engineering, Kyung Hee University)
  • 김태의 (경희대학교 생체의공학과) ;
  • 김현지 (경희대학교 생체의공학과) ;
  • 위헌 (경희대학교 생체의공학과) ;
  • 오동인 (경희대학교 생체의공학과) ;
  • 우응제 (경희대학교 생체의공학과)
  • Received : 2011.12.14
  • Accepted : 2012.02.09
  • Published : 2012.03.30


Electrical impedance tomography(EIT) can produce functional images with conductivity distributions associated with physiological events such as cardiac and respiratory cycles. EIT has been proposed as a clinical imaging tool for the detection of stroke and breast cancer, pulmonary function monitoring, cardiac imaging and other clinical applications. However EIT still suffers from technical challenges such as the electrode interface, hardware limitations, lack of animal or human trials, and interpretation of conductivity variations in reconstructed images. We improved the KHU Mark2 EIT system by introducing an EIT electrode interface consisting of nano-web fabric electrodes and by adding a synchronized biosignal measurement system for gated conductivity imaging. ECG and respiration signals are collected to analyze the relationship between the changes in conductivity images and cardiac activity or respiration. The biosignal measurement system provides a trigger to the EIT system to commence imaging and the EIT system produces an output trigger. This EIT acquisition time trigger signal will also allow us to operate the EIT system synchronously with other clinical devices. This type of biosignal gated conductivity imaging enables capture of fast cardiac events and may also improve images and the signal-to-noise ratio (SNR) by using signal averaging methods at the same point in cardiac or respiration cycles. As an example we monitored the beat by beat cardiac-related change of conductivity in the EIT images obtained at a common state over multiple respiration cycles. We showed that the gated conductivity imaging method reveals cardiac perfusion changes in the heart region of the EIT images on a canine animal model. These changes appear to have the expected timing relationship to the ECG and ventilator settings that were used to control respiration. As EIT is radiation free and displays high timing resolution its ability to reveal perfusion changes may be of use in intensive care units for continuous monitoring of cardiopulmonary function.


Supported by : 한국연구재단, 경희대학교


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