Applied Physics A

, 123:112 | Cite as

Hybrid graphene–copper UWB array sensor for brain tumor detection via scattering parameters in microwave detection system

  • Mohd Aminudin Jamlos
  • Abdul Hafiizh Ismail
  • Mohd Faizal Jamlos
  • Adam Narbudowicz
Article
Part of the following topical collections:
  1. Advanced Metamaterials and Nanophotonics

Abstract

Hybrid graphene–copper ultra-wideband array sensor applied to microwave imaging technique is successfully used in detecting and visualizing tumor inside human brain. The sensor made of graphene coated film for the patch while copper for both the transmission line and parasitic element. The hybrid sensor performance is better than fully copper sensor. Hybrid sensor recorded wider bandwidth of 2.0–10.1 GHz compared with fully copper sensor operated from 2.5 to 10.1 GHz. Higher gain of 3.8–8.5 dB is presented by hybrid sensor, while fully copper sensor stated lower gain ranging from 2.6 to 6.7 dB. Both sensors recorded excellent total efficiency averaged at 97 and 94%, respectively. The sensor used for both transmits equivalent signal and receives backscattering signal from stratified human head model in detecting tumor. Difference in the data of the scattering parameters recorded from the head model with presence and absence of tumor is used as the main data to be further processed in confocal microwave imaging algorithm in generating image. MATLAB software is utilized to analyze S-parameter signals obtained from measurement. Tumor presence is indicated by lower S-parameter values compared to higher values recorded by tumor absence.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Mohd Aminudin Jamlos
    • 1
  • Abdul Hafiizh Ismail
    • 1
  • Mohd Faizal Jamlos
    • 2
    • 3
  • Adam Narbudowicz
    • 4
    • 5
  1. 1.Electronics Department, Faculty Technology of Engineering (FTK)Universiti Malaysia Perlis (UniMAP)Padang BesarMalaysia
  2. 2.Advanced Communication Engineering Centre (ACE), School of Computer and Communication EngineeringUniversiti Malaysia Perlis (UniMAP)KangarMalaysia
  3. 3.Faculty of Mechanical EngineeringUniversiti Malaysia Pahang (UMP)PekanMalaysia
  4. 4.Institute of High Frequency TechnologyRWTH Aachen UniversityAachenGermany
  5. 5.Dublin Institute of TechnologyDublin 8Ireland

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