Microwave Imaging for Monitoring Patients Post-Radiation Treatment: An initial investigation

Katrin Smith, Jeremie Bourqui, Petra Grendarova, Mark Lesiuk, Sarah Quirk, Michael Roumeliotis, Elise Fear

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this preliminary study, we investigate how changes in breast tissue due to treatment can be quantified using microwave signals, images, and property estimates. Microwave scans of treated and healthy breasts from a group of cancer patients before and after radiation treatment are compared. Images of the treated breasts generally had an increase in permittivity after treatment, while the healthy breast remained relatively constant over the timeframe. In a case study, the permittivity estimated at various microwave sensor pairs was generally higher for the treated breast compared to the healthy breast, however changes were small in the reported patient. For this example, the signal correlation between scans was high and similar for both the treated and the healthy scan. For the same patient, image correlation highlighted differences between the baseline and follow-up scans, suggesting that image correlation may be a better metric for quantifying changes.

Original languageEnglish (US)
Title of host publication15th European Conference on Antennas and Propagation, EuCAP 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788831299022
DOIs
StatePublished - Mar 22 2021
Externally publishedYes
Event15th European Conference on Antennas and Propagation, EuCAP 2021 - Dusseldorf, Germany
Duration: Mar 22 2021Mar 26 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
Period3/22/213/26/21

Keywords

  • cancer
  • microwaves imaging
  • treatment monitoring

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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