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Microwave medical imaging based on sparsity and an iterative method with adaptive thresholding

Azghani, M ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/TMI.2014.2352113
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. We propose a new image recovery method to improve the resolution in microwave imaging applications. Scattered field data obtained from a simplified breast model with closely located targets is used to formulate an electromagnetic inverse scattering problem, which is then solved using the Distorted Born Iterative Method (DBIM). At each iteration of the DBIM method, an underdetermined set of linear equations is solved using our proposed sparse recovery algorithm, IMATCS. Our results demonstrate the ability of the proposed method to recover small targets in cases where traditional DBIM approaches fail. Furthermore, in order to regularize the sparse recovery algorithm, we propose a novel L2 -based approach and prove its convergence. The simulation results indicate that the L2-regularized method improves the robustness of the algorithm against the ill-posed conditions of the EM inverse scattering problem. Finally, we demonstrate that the regularized IMATCS-DBIM approach leads to fast, accurate and stable reconstructions of highly dense breast compositions
  6. Keywords:
  7. Inverse scattering ; Microwave tomography ; Compressed sensing ; Image segmentation ; Inverse problems ; Medical imaging ; Recovery ; Tomography ; Adaptive thresholding ; Breast imaging ; Distorted Born iterative methods ; Electromagnetic inverse scattering problems ; Inverse scattering problems ; Scattered field data ; Iterative methods ; Breast tumor ; Computer simulation ; Electromagnetic radiation ; Image analysis ; Image processing ; Image reconstruction ; Imaging phantom ; Iterative method with adaptive thresholding for compressed sensing ; Linear system ; Mathematical parameters ; Mathematical phenomena ; Mcrowave imaging ; Nonlinear system ; Radiation scattering ; Biological model ; Devices ; Diagnostic imaging ; Diagnostic use ; Image quality ; Microwave radiation ; Physiology ; Procedures ; Algorithms ; Breast ; Female ; Humans ; Microwaves ; Models, Biological ; Phantoms, Imaging
  8. Source: IEEE Transactions on Medical Imaging ; Volume 34, Issue 2 , September , 2015 , Pages 357-365 ; 02780062 (ISSN)
  9. URL: http://ieeexplore.ieee.org/document/6902820/?arnumber=6902820