Comparison of 2-D and 3-D DBIM-TwIST for Brain Stroke Detection and Differentiation

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3 Citations (Scopus)

Abstract

This work presents preliminary results from a three-dimensional (3-D) iterative microwave imaging algorithm vs. its previous two-dimensional (2-D) implementation for detecting brain stroke. The imaging algorithm is based on the distorted Born iterative method (DBIM) combined with the two-step iterative shrinkage thresholding (TwIST) method. Our test scenarios are based on simplified phantoms with hemorrhagic and ischemic stroke targets, which are placed inside our previously developed microwave imaging prototype and are simulated using CST Microwave Studio. Our results demonstrate that both 2-D and 3-D implementations can detect and differentiate a stroke target placed at the same height (but off-centre) with the antenna array. Moreover, the target's dielectric properties are estimated more accurately with the 3-D algorithm.

Original languageEnglish
Title of host publication15th European Conference on Antennas and Propagation, EuCAP 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788831299022
DOIs
Publication statusPublished - 22 Mar 2021
Event15th European Conference on Antennas and Propagation, EuCAP 2021 - Dusseldorf, Germany
Duration: 22 Mar 202126 Mar 2021

Publication series

Name15th European Conference on Antennas and Propagation, EuCAP 2021

Conference

Conference15th European Conference on Antennas and Propagation, EuCAP 2021
Country/TerritoryGermany
CityDusseldorf
Period22/03/202126/03/2021

Keywords

  • Brain stroke
  • DBIM
  • Microwave tomography
  • TwIST

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