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 language | English |
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Title of host publication | 2020 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728158662 |
DOIs | |
Publication status | Published - 14 Dec 2020 |
Event | 2020 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2020 - Toulouse, France Duration: 14 Dec 2020 → 17 Dec 2020 |
Publication series
Name | 2020 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2020 |
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Conference
Conference | 2020 IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2020 |
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Country/Territory | France |
City | Toulouse |
Period | 14/12/20 → 17/12/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- Pulmonary edema detection
- congestive heart failure
- distorted Born iterative method
- microwave imaging