Novel inversion tools to improve performance of the DBIM algorithm for microwave medical imaging

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

3 Citations (Scopus)

Abstract

This paper presents recent results from the application of new linear inversion methods to the Distorted Born Iterative Method (DBIM) for quantitative microwave breast imaging. We first review a recently proposed method based on a regularization by projection scheme, which exploits wavelets to accommodate the trade off between reducing the number of unknowns and representing highly heterogeneous breast compositions. Second, we review a compressed sensing recovery method that can be used to improve microwave imaging resolution when sparsity can be argued in the reconstruction process. Finally, we present the application of a two-step approach for the solution of the linear problem at each DBIM, which results in fast and accurate reconstructions. We note that the presented results from all these methods cannot be obtained from traditional DBIM approaches.

Original languageEnglish
Title of host publicationConference Proceedings - 2014 IEEE MTT-S International Microwave Workshop Series on
Subtitle of host publicationRF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-Bio 2014
Place of PublicationLondon
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-3
Number of pages3
ISBN (Print)9781479954476
DOIs
Publication statusPublished - 5 Feb 2015
Event2014 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-Bio 2014 - London, United Kingdom
Duration: 8 Dec 201410 Dec 2014

Conference

Conference2014 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-Bio 2014
Country/TerritoryUnited Kingdom
CityLondon
Period8/12/201410/12/2014

Keywords

  • breast imaging
  • compressed sensing
  • inverse scattering
  • iterative thresholding
  • Microwave tomography
  • wavelet basis

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