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The impact of the inverse chirp z-transform on breast microwave radar image reconstruction

Published online by Cambridge University Press:  28 April 2020

Tyson Reimer Open the ORCID record for Tyson Reimer [Opens in a new window] ,
Mario Solis-Nepote  and
Stephen Pistorius
Tyson Reimer*
Affiliation:
Department of Physics and Astronomy, University of Manitoba, Winnipeg, MB, Canada
Mario Solis-Nepote
Affiliation:
Research Institute in Oncology and Hematology, University of Manitoba, Winnipeg, MB, Canada
Stephen Pistorius
Affiliation:
Department of Physics and Astronomy, University of Manitoba, Winnipeg, MB, Canada Research Institute in Oncology and Hematology, University of Manitoba, Winnipeg, MB, Canada
*
Author for correspondence: Tyson Reimer, E-mail: reimert5@myumanitoba.ca
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Abstract

This work examines the impact of the inverse chirp z-transform (ICZT) for frequency-to-time-domain conversion during image reconstruction of a pre-clinical radar-based breast microwave imaging system operating over 1–8 GHz. Two anthropomorphic breast phantoms were scanned with this system, and the delay-multiply-and-sum beamformer was used to reconstruct images of the phantoms, after using either the ICZT or the inverse discrete Fourier transform (IDFT) for frequency-to-time domain conversion. The contrast, localization error, and presence of artifacts in the reconstructions were compared. The use of the IDFT resulted in prominent ring artifacts that were not present when using the ICZT, and the use of the ICZT resulted in higher contrast between the tumor and clutter responses. In one of the phantoms, the tumor response was only visible in reconstructions that used the ICZT. The use of the ICZT evaluated with a time-step size of 11 ps resulted in the reduction of prominent artifacts present when using the IDFT and the successful identification of the tumor response in the reconstructed images.

Keywords

Microwave imagingbreast imagingimage reconstruction
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 12 , Special Issue 9: EuMCE 2019 Special Issue (Part I) , November 2020 , pp. 848 - 854
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Copyright
Copyright © Cambridge University Press and the European Microwave Association 2020

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