Image Improvement Through Metamaterial Technology for Brain Stroke Detection

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5 Citations (Scopus)

Abstract

In this paper we investigate the capabilities of metamaterials technology to enhance the quality of reconstructed images for the problem of brain stroke detection. We integrate the metamaterial in our headband system for brain imaging in CST, and evaluate the reconstructed images of the head model that is placed inside the microwave tomographic head system for the cases with and without the incorporated metamaterial. For image reconstruction we apply the distorted Born iterative method (DBIM) combined with two-step iterative shrinkage/thresholding (TwIST) algorithm. Our results indicate that the use of our metamaterial can increase the signal difference due to the presence of a blood target, which translates into more accurate reconstructions of the target.

Original languageEnglish
Title of host publication14th European Conference on Antennas and Propagation, EuCAP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788831299008
DOIs
Publication statusPublished - Mar 2020
Event14th European Conference on Antennas and Propagation, EuCAP 2020 - Copenhagen, Denmark
Duration: 15 Mar 202020 Mar 2020

Publication series

Name14th European Conference on Antennas and Propagation, EuCAP 2020

Conference

Conference14th European Conference on Antennas and Propagation, EuCAP 2020
Country/TerritoryDenmark
CityCopenhagen
Period15/03/202020/03/2020

Keywords

  • DBIM
  • metamaterials
  • microwave imaging
  • TwIST.

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