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

Autor:	Mario Solis-Nepote, Stephen Pistorius, Tyson Reimer
Rok vydání:	2020
Předmět:	Computer science business.industry Breast imaging Bluestein's FFT algorithm media_common.quotation_subject Iterative reconstruction law.invention Optics Microwave imaging law Chirp Clutter Contrast (vision) Electrical and Electronic Engineering Radar business media_common
Zdroj:	Scopus-Elsevier
ISSN:	1759-0795 1759-0787
DOI:	10.1017/s1759078720000379
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a1e1e2c706f52939fdd4052eeee905f https://doi.org/10.1017/s1759078720000379 Zobrazit plný text záznamu