Skip to main navigation Skip to search Skip to main content

Hybrid artifact removal for breast imaging applied to a time-domain microwave system

  • McGill University

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

3 Citations (Scopus)

Abstract

In this paper, we demonstrate the successful use of a hybrid artifact removal algorithm for microwave breast imaging when applied to a time-domain system. This algorithm, previously applied to VNA-based prototypes, combines two existing algorithms to remove the early time response primarily due to the direct pulse between antennas, and the skin response. We discuss the modifications necessary to this previously developed algorithm to correctly extract the tumour response signal for our time-domain system. We also compare post-processing results for simulation and experimental data.

Original languageEnglish
Title of host publication2016 17th International Symposium on Antenna Technology and Applied Electromagnetics, ANTEM 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467384773
DOIs
Publication statusPublished - 23 Aug 2016
Event17th International Symposium on Antenna Technology and Applied Electromagnetics, ANTEM 2016 - Montreal, Canada
Duration: 10 Jul 201613 Jul 2016

Publication series

Name2016 17th International Symposium on Antenna Technology and Applied Electromagnetics, ANTEM 2016

Conference

Conference17th International Symposium on Antenna Technology and Applied Electromagnetics, ANTEM 2016
Country/TerritoryCanada
CityMontreal
Period10/07/1613/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • artifact removal
  • breast phantoms
  • cancer detection
  • microwave imaging
  • multistatic radar

Fingerprint

Dive into the research topics of 'Hybrid artifact removal for breast imaging applied to a time-domain microwave system'. Together they form a unique fingerprint.

Cite this