Detection of the breast cancer based on the electrical impedance myography parameters using finite element method

Md Nurul A. Tarek, Ahmed H. Jalal, Fahmida Alam, Mohammad A. Ahad

Research output: Contribution to book or proceedingConference articlepeer-review

3 Scopus citations

Abstract

Electrical Impedance Myography (EIM) is a painless, non-invasive electrophysiological technique for the assessment of different disease status of the human body. In EIM, high frequency, low-intensity electrical current is injected via the surface electrode to the localized area and resulting voltage patterns are analyzed using the voltage sensing electrode to access three major parameters-resistance(R), reactance(X), and phase(θ). This method detects the abnormalities in the biological tissue based on differences in values of these three parameters between normal and malignant tissue. In this study, a finite element model of the human breast has been developed in an attempt to analyze the EIM parameters for the detection of malignant tissue. Simulations were carried out for a frequency range of 2 to 3 GHz and electrical properties of breast tissue were used. For example, at 2.45 GHz, normal breast tissue has a resistance of.961 Ω and a reactance of 4.462 Ω. At this particular frequency, malignant breast tissue with a tumor size of 7 mm had a resistance of.945 ohm and reactance of 4.365 ohm. The percentage deviation of the normal breast tissue from the 7mm malignant tissue for resistance and reactance is 1.665% and 2.174% respectively. This paper attempts to illustrate the behavior of EIM parameters for different size and location of the tumor in the breast tissue. The ultimate goal of the paper is to investigate EIM's ability to detect early cancer cell in the breast tissue.

Original languageEnglish
Title of host publicationSmart Biomedical and Physiological Sensor Technology XV
EditorsBrian M. Cullum, Eric S. McLamore, Douglas Kiehl
PublisherSPIE
ISBN (Electronic)9781510618350
DOIs
StatePublished - 2018
EventSmart Biomedical and Physiological Sensor Technology XV 2018 - Orlando, United States
Duration: Apr 15 2018Apr 17 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10662
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceSmart Biomedical and Physiological Sensor Technology XV 2018
Country/TerritoryUnited States
CityOrlando
Period04/15/1804/17/18

Scopus Subject Areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Breast Tissue
  • EIM
  • FEM

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