Skip to main navigation Skip to search Skip to main content

A Comparison of the MR-TSOM and DBIM in Reconstructing 2D Model of Human Breast

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

Abstract

This article reconstructs the two-dimensional simplified breast cancer phantom by using two different inversion methods: the distorted-Born iterative method (DBIM) and the multiplicative-regularization two-folded subspace-based optimization method (MR-TSOM). The frequency selected is 300MHz, and the dielectric parameters are modeled according to the real data. Liquid matching layer is also modeled with real dielectric parameter, to make sure that the microwave is guided into the breast. It is shown that the two methods are both able to locate and distinguish the malignant cells from the benign ones through the contrast of dielectric permittivity. The convergence rate and the reconstruction errors of the two methods are compared at last.

Original languageEnglish
Title of host publication2018 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, CSQRWC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538664230
DOIs
Publication statusPublished - 5 Sept 2018
Externally publishedYes
Event2018 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, CSQRWC 2018 - Xuzhou, China
Duration: 21 Jul 201824 Jul 2018

Publication series

Name2018 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, CSQRWC 2018

Conference

Conference2018 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference, CSQRWC 2018
Country/TerritoryChina
CityXuzhou
Period21/07/1824/07/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • breast cancer
  • microwave imaging

Fingerprint

Dive into the research topics of 'A Comparison of the MR-TSOM and DBIM in Reconstructing 2D Model of Human Breast'. Together they form a unique fingerprint.

Cite this