Huygens principle based UWB microwave imaging method for skin cancer detection

Navid Ghavami, Gianluigi Tiberi, Mohammad Ghavami, Sandra Dudley, Majella Lane

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, Ultra Wideband (UWB) technology has emerged as a promising alternative for use in a wide range of applications. One of the potential applications of UWB is in healthcare and imaging, motivated by its non-ionizing signals, low cost, low complexity, and its ability to penetrate through mediums. Moreover, the large bandwidth covered by UWB signals permits the very high resolution required in imaging experiments. In this paper, a recently introduced UWB microwave imaging technique based on the Huygens principle (HP), has been applied to multilayered skin model with an inclusion representing a tumor. The methodology of HP permits the capture of contrast such that different material properties within the region of interest can be discriminated in the final image, and its simplicity removes the need to solve inverse problems when forward propagating the waves. Therefore the procedure can identify and localize significant scatterers inside a multilayered volume. Validation of the technique through simulations on multilayered cylindrical model of the skin with inclusion representing the tumor has been performed.

Original languageEnglish
Title of host publication2016 10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509025268
DOIs
Publication statusPublished - Sep 21 2016
Event10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016 - Prague, Czech Republic
Duration: Jul 20 2016Jul 23 2016

Other

Other10th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2016
CountryCzech Republic
CityPrague
Period7/20/167/23/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

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