Microwave imaging (MI) has been considered as an alternative way to X-ray mammography for breast cancer detection. This paper presents a compressive sensing based holographic microwave imaging (CS-HMI) approach for diagnosing of breast cancer. A numerical imaging system is developed to validate the proposed CS-HMI approach, which includes a realistic human breast phantom and measurement model. Small breast tumour can be detected in the reconstructed CS-HMI image via Split Bregman (SB) with using 10% measurement data. Simulation and experimental results show that CS-HMI has the ability to produce high quality image by using significantly less measurement data and operation time.
Holographic Microwave Imaging for Breast Cancer Detection Based on Compressive Sensing
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Wang, L, & Peng, H. "Holographic Microwave Imaging for Breast Cancer Detection Based on Compressive Sensing." Proceedings of the ASME 2017 International Mechanical Engineering Congress and Exposition. Volume 3: Biomedical and Biotechnology Engineering. Tampa, Florida, USA. November 3–9, 2017. V003T04A002. ASME. https://doi.org/10.1115/IMECE2017-70063
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