A Microwave Imaging Method Based on Improved Contrast Source Inversion for Brain Stroke Detection

Ruoxuan Wang, Zekun Zhang, Heng Liu*, Xinguang Yu*, Rui Zong, Binhua Wang, Xianchao Zhang*

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

This paper presents a method for rapid microwave imaging to detect brain stroke. Based on contrast source inversion (CSI) method, the algorithm uses fast conjugate gradient (FCG) method to replace the Polak- Ribiere (PR) conjugate gradient method to optimize the objective function, which further improve the speed and accuracy of brain imaging. Simulations and experiments show that this imaging algorithm can effectively locate blood clots in human brain with high localization accuracy.

Original languageEnglish
Title of host publicationProceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022
EditorsXin Chen, Lin Cao, Qingli Li, Yan Wang, Lipo Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665488877
DOIs
Publication statusPublished - 2022
Event15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022 - Beijing, China
Duration: 5 Nov 20227 Nov 2022

Publication series

NameProceedings - 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022

Conference

Conference15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2022
Country/TerritoryChina
CityBeijing
Period5/11/227/11/22

Keywords

  • brain stroke
  • contrast source inversion method
  • microwave imaging

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