Feasibility of Distorted Born Iterative Method for Detecting Early Stage of Heart Failure

Semih Dogu, Egemen Bilgin, Sulayman Joof, Mehmet Nuri Akinci

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

1 Citation (Scopus)

Abstract

In this paper, we analyze the feasibility of using microwaves to detect early stage of congestive heart failure, which causes water accumulation in the lungs. To this aim, a slice from realistic human torso phantom, which consists of all human tissues and organs, is considered. Constitutive parameters of the phantom are calculated by multiple order Cole-Cole model at operating frequency. Then, the scattered field is calculated via method of moment and a 30 dB additive white Gaussian noise is added to create a more realistic scenario. In the solution of inverse scattering phase, distorted Born iterative method is utilized. The presented results show the feasibility of the proposed method.

Original languageEnglish
Title of host publication2020 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158662
DOIs
Publication statusPublished - 14 Dec 2020
Event2020 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2020 - Toulouse, France
Duration: 14 Dec 202017 Dec 2020

Publication series

Name2020 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2020

Conference

Conference2020 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2020
Country/TerritoryFrance
CityToulouse
Period14/12/2017/12/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Pulmonary edema detection
  • congestive heart failure
  • distorted Born iterative method
  • microwave imaging

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