Performance Comparison of Image Reconstruction Algorithms in Microwave Imaging for Breast Cancer Screening

Mahnoor Sagheer, Humza Sami, Kashif Riaz, Muhammad Qasim Mehmood, Muhammad Zubair

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

3 Scopus citations


The image reconstruction algorithms are the fundamental component of a microwave imaging system. Since the inception of microwave imaging, much work has been accomplished for the development of different imaging reconstruction algorithms. In this paper, the performance of image reconstruction algorithms is evaluated and compared. The comparison between reconstruction algorithms is performed in terms of localization of the tumor and computational time. The Delay and Sum (DAS) beamformer is the simplest microwave imaging algorithm with real-time execution. The experimental results in the paper illustrate that DAS shows limited capabilities for suppressing the noise and the artifacts. Delay Multiply and Sum (DMAS) is the extended version of DAS and offers high contrast resolution (narrow beamformer) at the cost of high computational time. An alternative to DMAS is Fast Delay Multiply and Sum (FDMAS) that provides high resolution at the complexity equal to DAS. Moreover, interferometric multiple signal classification (I-MUSIC) is another efficient method that requires low bandwidth for operating and has a better execution time. The results retrieved from experimental data show that FDMAS and I-MUSIC outperform other algorithms with better resolution in less time.
Original languageEnglish (US)
Title of host publication2021 1st International Conference on Microwave, Antennas and Circuits, ICMAC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781665400862
StatePublished - Jan 1 2021
Externally publishedYes


Dive into the research topics of 'Performance Comparison of Image Reconstruction Algorithms in Microwave Imaging for Breast Cancer Screening'. Together they form a unique fingerprint.

Cite this