https://www.mdu.se/

mdu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Retro-Modelling Technique for Permittivity Measurements in the Range from 2.2 to 2.6 GHz for Medical Applications
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3248-2529
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-2457-3079
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-2118-9354
2021 (English)In: 2021 IEEE International Conference on Antenna Measurements and Applications 2021 IEEE CAMA, Antibes Juan-les-pins, France, 2021, p. 220-225Conference paper, Published paper (Refereed)
Abstract [en]

In this study we present a permittivity measurement technique based on retro-modelling of a resonant cavity in the frequency range from 2.2 to 2.6 GHz that allows for a more arbitrary sample shape than traditional cavity perturbation techniques. It is shown that the resolution of the retro-modelling technique can be improved if the invoked modes in the sample and in the surrounding cavity space are of different type or indexation, a condition that must clearly be avoided in classical perturbation techniques. The measurement method was applied to a ceramic sample of unknown permittivity which was retro-modelled to "0 = 19.35 and   = 0.009 S/m with a remaining combined error of geometry and permittivity deviations between measurement and simulation of <0.1% in frequency and 22% in Q-value at the target resonance. This technique will allow us to identify suitable dielectric materials to improve the feed efficiency of our magnetic field applicator which is currently being developed for microwave breast cancer detection.

Place, publisher, year, edition, pages
Antibes Juan-les-pins, France, 2021. p. 220-225
Keywords [en]
permittivity, measurement, ceramic, retromodelling, dielectric
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-56768DOI: 10.1109/CAMA49227.2021.9703643Scopus ID: 2-s2.0-85126736092ISBN: 9781728196978 (print)OAI: oai:DiVA.org:mdh-56768DiVA, id: diva2:1620852
Conference
2021 IEEE International Conference on Antenna Measurements and Applications 2021 IEEE CAMA, 15 Nov 2021, Antibes Juan-les-pins, France
Projects
ESS-H - Embedded Sensor Systems for Health Research ProfileAvailable from: 2021-12-16 Created: 2021-12-16 Last updated: 2025-10-10Bibliographically approved
In thesis
1. Advancements Towards Contactless Biomedical Microwave Applications
Open this publication in new window or tab >>Advancements Towards Contactless Biomedical Microwave Applications
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Medical Microwave Imaging (MWI) has been the subject of ongoing research to establish it as a complementary method to conventional clinical imaging modalities. Especially the field of breast cancer detection has seen significant progress in recent years. However, low signal quality remains a persistent challenge, primarily due to spurious signal components, commonly referred to as clutter, that originate within the imaging domain but do not convey information about the internal structure of the breast. Existing strategies to reduce clutter and thereby increase the detectability of a tumor include the application of coupling liquids or contacting antennas, which often fail to meet clinical requirements regarding hygiene, patient comfort, and practical applicability.

To address these limitations, in this thesis, we explore alternative approaches to mitigate clutter in non-contacting, air-based MWI systems aimed at improving clinical feasibility. Specifically, the effect of different field polarizations is being analyzed regarding their potential to reduce unwanted interactions at the air-skin interface. Furthermore, a transmitting field applicator is introduced that leverages reactive near-field interactions for efficient power transmission into the load without the need for direct contact. A mathematical framework based on the boundary element surface method is developed, enabling efficient integration of the proposed strategies into a model-based reconstruction pipeline. In summary, a non-contacting, air-based hardware concept for practical and patient-friendly application is presented together with a computational method for efficient numerical modeling of the system. The contributions made in this thesis advance MWI further towards its potential role as a clinically viable technique for breast cancer detection.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2025
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 437
National Category
Medical Imaging
Research subject
Electronics
Identifiers
urn:nbn:se:mdh:diva-73046 (URN)978-91-7485-716-0 (ISBN)
Public defence
2025-10-10, Paros, Mälardalens universitet, Västerås, 09:15 (English)
Opponent
Supervisors
Available from: 2025-08-21 Created: 2025-08-19 Last updated: 2025-10-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Petrovic, NikolaRisman, Per Olov

Search in DiVA

By author/editor
Salomon, ChristophPetrovic, NikolaRisman, Per Olov
By organisation
Embedded Systems
Engineering and TechnologyComputer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 125 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf