Feasibility of brain stroke imaging with microwaves

Ismail Dilman, Uǧur Yildirim, Sema Coşǧun, Semih Doǧu, Mehmet Çayören, Ibrahim Akduman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

This paper investigates feasibility of detection of blooded area in a realistic head phantom with microwave imaging. Realistic phantom is illuminated by 36 line sources and the scattering field data is calculated numerically with method of moments. Additive white Gaussian noise with 20 dB is added for more realistic scenario. Contrast Source Inversion method is used to reconstruct the blooded area. Simulations are done at different operating frequencies of 500 MHz, 800 MHz and 1000 MHz. Moreover, results either with electrically different background mediums or free space are discussed in this study. The numerical results show that it is possible to determine the square shape blooded area with size about 2.6cm × 2.6cm between the 800-1000Mhz frequency range in the dielectric matching medium.

Original languageEnglish
Title of host publication2016 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2016
EditorsMuhammad Ramlee Kamarudin, Fauziahanim Che Seman, Mohd Khairul Mohd Salleh
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages334-338
Number of pages5
ISBN (Electronic)9781509010608
DOIs
Publication statusPublished - 2016
Event7th IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2016 - Langkawi, Kedah, Malaysia
Duration: 11 Dec 201613 Dec 2016

Publication series

Name2016 IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2016

Conference

Conference7th IEEE Asia-Pacific Conference on Applied Electromagnetics, APACE 2016
Country/TerritoryMalaysia
CityLangkawi, Kedah
Period11/12/1613/12/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Contrast source inversion
  • Microwave imaging
  • Realistic head model

Fingerprint

Dive into the research topics of 'Feasibility of brain stroke imaging with microwaves'. Together they form a unique fingerprint.

Cite this