Anomaly Detection Using Electric Impedance Tomography Based on Real and Imaginary Images

This research offers a method for separating the components of tissue impedance, namely resistance and capacitive reactance. Two objects that have similar impedance or low contrast can be improved through separating the real and imaginary images. This method requires an Electrical Impedance Tomography (EIT) device. EIT can obtain potential data and the phase angle between the current and the potential measured. In the future, the device is very suitable for imaging organs in the thorax and abdomen that have the same impedance but different resistance and capacitive reactance. This device consists of programmable generators, Voltage Controlled Current Source (VCCS), mulptiplexer-demultiplexer potential meters, and phase meters. Data collecting was done by employing neighboring, while reconstruction was used the linear back-projection method from two different data frequencies, namely 10 kHz and 100 kHz. Phantom used in this experiment consists of distillated water and a carrot as an anomaly. Potential and phase data from the device is reconstructed to produce impedance, real, and imaginary images. Image analysis is performed by comparing the three images to the phantom. The experimental results show that the device is reliable.

[1]  Lin Yang,et al.  In Vivo Bioimpedance Spectroscopy Characterization of Healthy, Hemorrhagic and Ischemic Rabbit Brain within 10 Hz–1 MHz , 2017, Sensors.

[2]  E. Mylott,et al.  Bioelectrical impedance analysis as a laboratory activity: At the interface of physics and the body , 2014 .

[3]  Zhiyao Huang,et al.  Study on image reconstruction of capacitively coupled electrical impedance tomography (CCEIT) , 2019, Measurement Science and Technology.

[4]  David Isaacson,et al.  A Reconstruction Algorithm for Breast Cancer Imaging With Electrical Impedance Tomography in Mammography Geometry , 2007, IEEE Transactions on Biomedical Engineering.

[5]  Bin He,et al.  Magnetoacoustic Imaging of Electrical Conductivity of Biological Tissues at a Spatial Resolution Better than 2 mm , 2011, PloS one.

[6]  M. Elia,et al.  Bioelectrical impedance analysis--part I: review of principles and methods. , 2004, Clinical nutrition.

[7]  Khusnul Ain,et al.  Dual modality electrical impedance and ultrasound reflection tomography to improve image quality , 2017 .

[8]  Zhanqi Zhao,et al.  Electrical impedance tomography: functional lung imaging on its way to clinical practice? , 2015, Expert review of respiratory medicine.

[9]  Wei Wang,et al.  Investigation of biological phantom for 2D and 3D breast EIT images , 2007 .

[10]  William R B Lionheart EIT reconstruction algorithms: pitfalls, challenges and recent developments. , 2004, Physiological measurement.

[11]  Y D Jiang,et al.  Capacitively Coupled Electrical Impedance Tomography for Brain Imaging , 2019, IEEE Transactions on Medical Imaging.

[12]  A. A. Nazarov,et al.  Diagnosis of Breast Cancer Using Electrical Impedance Tomography , 2012, BioMed 2012.

[13]  J. Wnent,et al.  Electrical impedance tomography may optimize ventilation in a postpartum woman with respiratory failure. , 2013, International journal of obstetric anesthesia.

[14]  David S. Holder,et al.  Imaging fast electrical activity in the brain with electrical impedance tomography , 2016, NeuroImage.

[15]  Guanghui Liang,et al.  A Lagrange-Newton Method for EIT/UT Dual-Modality Image Reconstruction † , 2019, Sensors.

[16]  Vilas N. Ghate,et al.  Detection of Breast Cancer Using Electrical Impedance and RBF Neural Network , 2015 .

[17]  C. Gabriel Compilation of the Dielectric Properties of Body Tissues at RF and Microwave Frequencies. , 1996 .

[18]  Paolo Fiorini,et al.  A Deformable Smart Skin for Continuous Sensing Based on Electrical Impedance Tomography , 2016, Sensors.

[19]  Ruben Specogna,et al.  Estimating the Volume of Unknown Inclusions in an Electrically Conducting Body with Voltage Measurements , 2019, Sensors.

[20]  Wei Wang,et al.  Study of Voltage Control Current Source in Electrical Impedance Tomography System , 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

[21]  M. Soleimani,et al.  Practical design of low-cost instrumentation for industrial electrical impedance tomography (EIT) , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[22]  Gurmeet Singh,et al.  Development of a microcontroller based electrical impedance tomography system , 2015, 2015 Long Island Systems, Applications and Technology.

[23]  Dattatray V. Jadhav,et al.  A Novel Approach for Measuring Electrical Impedance Tomography for Local Tissue with Artificial Intelligent Algorithm , 2009 .

[24]  Tushar Kanti Bera,et al.  Electrical impedance spectroscopy (EIS)-based evaluation of biological tissue phantoms to study multifrequency electrical impedance tomography (Mf-EIT) systems , 2016, J. Vis..

[25]  Giorgio Rizzoni,et al.  Principles and Applications of Electrical Engineering , 1993 .

[26]  Steffen Leonhardt,et al.  System Description and First Application of an FPGA-Based Simultaneous Multi-Frequency Electrical Impedance Tomography , 2016, Sensors.

[27]  Tushar Kanti Bera,et al.  Electrical Impedance Spectroscopic Studies on Broiler Chicken Tissue Suitable for the Development of Practical Phantoms in Multifrequency EIT , 2011 .