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Fast microwave medical imaging based on iterative smoothed adaptive thresholding

Azghani, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/LAWP.2014.2366919
  3. Abstract:
  4. This letter presents a fast microwave imaging technique based on the concept of smoothed minimization and adaptive thresholding. The distorted Born iterative method (DBIM) is used to solve the electromagnetic (EM) inverse scattering problem. We propose to solve the set of underdetermined equations at each iteration of the DBIM algorithm using an L2 regularized iterative smoothed adaptive thresholding (L2-ISATCS) technique. Our simulation results confirm that this technique can reduce considerably the required reconstruction times for the DBIM method relative to previously suggested compressed sensing (CS)-based approaches
  5. Keywords:
  6. Adaptive thresholding ; Imaging techniques ; Inverse problems ; Medical imaging ; Signal reconstruction ; Tomography ; Breast imaging ; Compressive sensing ; Distorted Born iterative methods ; Inverse scattering ; Inverse scattering problems ; Microwave imaging ; Microwave tomography ; Iterative methods
  7. Source: IEEE Antennas and Wireless Propagation Letters ; Volume 14 , 2015 , Pages 438-441 ; 15361225 (ISSN)
  8. URL: http://ieeexplore.ieee.org/document/6945332/?reload=true&arnumber=6945332