Tumor Margin Identidication Based on Contrast Values in Millimeter-wave Imaging

Amir Mirbeik, Negar Tavassolian

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

Abstract

This work proposes a novel method for tumor margin identification in millimeter-wave imaging in which a priori information about the statistical distribution of the dielectric properties of tissues is employed. In prior work, we presented a new millimeter-wave imaging modality that visualizes tumor profiles with high contrasts through the depth of skin with low cost. In this paper, we add the capability of estimating the margin of the tumor based on the contrast in millimeter-wave images. We propose a novel level set method in which the image function takes only two constant values. A learning-based method is employed to estimate the level set and corresponding reflectivity profile. Synthetic data are generated for objects within a 3-D imaging cavity and used for model training and testing. Furthermore, the method is tested on a numerical phantom. The reconstructed image indicates that the method can produce accurate estimates of object location, shape, and size while recovering the contrast with an error less than 5%.

Original languageEnglish
Title of host publication2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
Pages1722-1723
Number of pages2
ISBN (Electronic)9781665496582
DOIs
StatePublished - 2022
Event2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, United States
Duration: 10 Jul 202215 Jul 2022

Publication series

Name2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

Conference

Conference2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
Country/TerritoryUnited States
CityDenver
Period10/07/2215/07/22

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