Modelling the Interaction of THz Waves with Breast Cancer Tissues

Amir Shariffar, Tyler Bowman, Chenggang Lai, Miaoqing Huang, Magda El-Shenawee, Keith Bailey

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

Abstract

We demonstrate the application of Double Debye theory combined with Finite-Difference Time-Domain technique to model terahertz wave interaction with breast tumor tissues. It has been shown that terahertz signals are strongly absorbed by water. Biological tissue has high water content, which is a possible reason for contrast when utilizing terahertz technology in breast cancer imaging. While results demonstrated the contrast between fatty and cancerous breast tissues, the challenge lies in the low contrast between cancerous and fibroglandular tissues (normal tissue). Therefore, computer simulations are needed to investigate a method to manipulate and enhance the contrast between these tissues for the sake of using terahertz technology in tumor margin assessment.

Original languageEnglish (US)
Title of host publication2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1843-1844
Number of pages2
ISBN (Electronic)9781538671023
DOIs
StatePublished - 2018
Event2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Boston, United States
Duration: Jul 8 2018Jul 13 2018

Publication series

Name2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018 - Proceedings

Conference

Conference2018 IEEE Antennas and Propagation Society International Symposium and USNC/URSI National Radio Science Meeting, APSURSI 2018
Country/TerritoryUnited States
CityBoston
Period7/8/187/13/18

Keywords

  • breast cancer tumor
  • finite-difference time-domain (FDTD)
  • terahertz (THz)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation
  • Radiation

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