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Microwave imaging based on compressed sensing using adaptive thresholding

Azghani, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/EuCAP.2014.6901855
  3. Abstract:
  4. We propose to use a compressed sensing recovery method called IMATCS for improving the resolution in microwave imaging applications. The electromagnetic inverse scattering problem is solved using the Distorted Born Iterative Method combined with the IMATCS algorithm. This method manages to recover small targets in cases where traditional DBIM approaches fail. Furthermore, by applying an L2-based approach to regularize the sparse recovery algorithm, we improve the algorithm's robustness and demonstrate its ability to image complex breast structures. Although our simulation scenarios do not fully represent experimental or clinical data, our results suggest that the proposed algorithm may be able to overcome persistent challenges in microwave medical imaging
  5. Keywords:
  6. Adaptive thresholding ; Breast imaging ; Compressed sensing ; Inverse scattering ; Microwave tomography ; Algorithms ; Image segmentation ; Imaging systems ; Inverse problems ; Iterative methods ; Microwaves ; Recovery ; Signal reconstruction ; Tomography ; Breast structure ; Distorted Born iterative methods ; Electromagnetic inverse scattering problems ; Microwave imaging ; Medical imaging
  7. Source: 8th European Conference on Antennas and Propagation, EuCAP 2014 ; 2014 , pp. 699-701 ; ISBN: 9788890701849
  8. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6901855